Tabla de Contenidos: “…-- 2.2 TensorFlow building blocks -- 2.2.1 Understanding tf.Variable -- 2.2.2 Understanding tf.Tensor -- 2.2.3 Understanding tf.Operation -- 2.3 Neural network-related computations in TensorFlow -- 2.3.1 Matrix multiplication -- 2.3.2 Convolution operation -- 2.3.3 Pooling operation -- Summary -- Answers to exercises -- 3 Keras and data retrieval in TensorFlow 2 -- 3.1 Keras model-building APIs -- 3.1.1 Introducing the data set -- 3.1.2 The Sequential API -- 3.1.3 The functional API -- 3.1.4 The sub-classing API -- 3.2 Retrieving data for TensorFlow/Keras models -- 3.2.1 tf.data API -- 3.2.2 Keras DataGenerators -- 3.2.3 tensorflow-datasets package -- Summary -- Answers to exercises -- 4 Dipping toes in deep learning -- 4.1 Fully connected networks -- 4.1.1 Understanding the data -- 4.1.2 Autoencoder model -- 4.2 Convolutional neural networks…”

Tabla de Contenidos: “…-- Barriers to Influence -- Overcome the Barriers: Use an Influence Model to Guide You -- Plan, But Do Not Come Across as Self-Seeking -- Get "Two for the Price of One" -- The Book's Organization -- Notes -- Part II: The Influence Model -- Chapter 2: The Influence Model: Trading What They Want for What You've Got (Using Reciprocity and Exchange) -- Ignore the Law of Reciprocity at Your Peril -- Exchange: The Art of Give and Take That Permeates All Influence Tactics -- The Cohen-Bradford Influence without Authority Model -- Self-Created Barriers to Influencing -- Notes -- Chapter 3: Goods and Services: The Currencies of Exchange -- Coin of the Realm: The Concept of Currencies -- Frequently Valued Currencies -- Some Cautions -- Using Currencies: Complexities and Restrictions -- Expanding Your "Currency Pool" -- Self-Traps in Using Currencies -- Pay in the Currency Others Value, Not Just What You Would Value -- Resenting Having to Go Out of the Way -- A Word of Warning: Beware False Advertising -- Last Word: Some Currencies Really Are Not Convertible -- Notes -- Chapter 4: How to Know What They Want: Understanding Their Worlds (and the Forces Acting on Them) -- Two Forces That Can Explain All Behavior -- How to Know What Might Be Important to the Other Person -- The Potential Ally's Environment -- Where Are They Headed? …”

Tabla de Contenidos: “…-- C Matthew Snipp -- Colonialism's and postcolonialism's fellow traveller: the collection, use and misuse of data on indigenous people -- Ian Pool -- Part 2: Critiques of official statistics -- Data politics and Indigenous representation in Australian statistics -- Maggie Walter -- Indigenising demographic categories: a prolegomenon to indigenous data sovereignty -- Frances Morphy -- Governing data and data for governance: the everyday practice of Indigenous sovereignty -- Diane E Smith -- Part 3: Data sovereignty in practice -- Pathways to First Nations' data and information sovereignty -- First Nations Information Governance Centre (FNIGC) -- Tribal data sovereignty: Whakatōhea rights and interests -- Maui Hudson, Dickie Farrar and Lesley McLean -- The world's most liveable city-for Māori: data advocacy and Māori wellbeing in Tāmaki Makaurau (Auckland) -- James Hudson -- Indigenous data sovereignty: a Māori health perspective -- Rawiri Jansen -- Aboriginal and Torres Strait Islander community wellbeing: identified needs for statistical capacity -- Ray Lovett -- Data sovereignty for the Yawuru in Western Australia -- Mandy Yap and Eunice Yu -- Building a data revolution in Indian country -- Desi Rodriguez-Lonebear -- Part 4: State agency responses -- The Australian Bureau of Statistics' Aboriginal and Torres Strait Islander enumeration and engagement strategies: challenges and future options -- Paul Jelfs…”

Tabla de Contenidos: “…-- Mutual Pain -- Multiple Cooks in this Kitchen -- Information Candidates Can Use -- Names Are Important -- Meet and Greet -- During the Interview -- After the Interview -- Important Information for the Asking -- Onboarding -- The Big Void -- Avoid that Void -- Create the Goals -- Behind the Scenes -- KPI for Onboarding -- Get Visible -- The Hiring Experience Is Not Just About Candidates -- Chapter 5: Takeaways -- Expert Insights: Jill Macri -- Chapter 6: Attract the Best Talent -- Next Evolutionary Step from Filter Feeders: Recruiter Spam -- Once‐and‐Done Talent Sourcing Is a Thing of the Past -- Real Competition -- The Pressure's On -- Who Decides What -- The Elements of Successful Candidate Attraction -- Optimizing a Portfolio -- Variety of Techniques -- Putting These Concepts into Practice -- Hiring Brand -- Prequalified Talent Pools -- Advertising -- Spearfishing -- Now's the Next‐Best Time -- Three Necessary Actions…”

Tabla de Contenidos: “…Fiscal transfers in Asia: Pitfalls and opportunities for achieving the Sustainable Development Goals -- Introduction -- Objectives and types of fiscal transfers in Asia -- The rationale and objectives of transfers -- Fiscal transfers in Asia -- Patterns and trends -- Challenges -- The equity effects of transfers in Asia -- Allocation of equalising grant transfers -- The dominance of revenue-sharing transfers -- Sector conditional grants -- Ensuring geographic equity: Some lessons -- Co-ordination and monitoring -- The reform challenge: Winners versus losers -- The unintended incentive effects of transfers -- Conditionalities of use: Discretionary or earmarked -- Excessive conditionalities -- Excessive discretion -- Determination of the national allocable pool -- Timing of transfer allocation announcements and "gap-filling" transfers -- The disbursement process for transfers -- Retention and carry-over provisions -- Avoiding perverse incentives: Some conclusions -- Predictability of transfers -- Balancing conditionalities -- Recognising subnational governments' own budget cycle imperatives -- Leveraging incentive effects to promote better local performance -- Overview of performance-based transfer mechanisms -- Scope for wider adoption of performance-based transfers: Some conclusions -- The impact of performance-based grant transfers -- Selecting appropriate performance indicators -- Calibrating the rewards -- Managing performance assessments -- Sustainability -- Transparency and political buy-in -- References -- Notes -- Chapter 6. …”

Tabla de Contenidos: “…Android N JIT compiler -- Memory leak -- Memory churn -- References -- Memory-side projects -- Project Svelte and Android N -- Best practices -- Data types -- Autoboxing -- Sparse array family -- ArrayMap -- Syntax -- Collections -- Enumerations -- Constants -- Object management -- Strings -- String concatenation -- Local variables -- Arrays versus collections -- Streams -- Memory patterns -- The object pool pattern -- The FlyWeight pattern -- Android component leaks -- Activities -- Services -- Processes -- The memory API -- Main components and memory management -- Debugging tools -- LogCat -- Dalvik -- ART -- The ActivityManager API -- StrictMode -- Dumpsys -- Meminfo -- ProcStats -- Summary -- Chapter 5: Multithreading -- Walkthrough -- Threading basics -- Multicore CPUs -- Threads -- Multithreaded applications -- Thread safety -- Android multithreading environment -- Processes -- Android application thread -- The UI thread -- Worker threads -- The binder thread -- Android thread messaging -- Best practices -- Threads -- HandlerThread -- When to use -- AsyncTask -- Methods -- Generics parameters -- States management -- Executor -- When to use -- Loaders -- LoaderManager -- LoaderCallbacks&lt -- D&gt -- -- Provided loaders -- When to use -- Services -- Life cycle -- Started Service -- Bound Service -- IntentService -- Inter-process communication -- Remote Procedure Call -- AIDL -- Messenger -- Advanced techniques -- BroadcastReceiver asynchronous techniques -- ContentProvider asynchronous techniques -- Repeating tasks -- Debugging tools -- StrictMode -- Summary -- Chapter 6: Networking -- Walkthrough -- Protocols -- Methods -- Headers -- Timeout -- Content -- Compression -- Response code -- Connection types -- Best practices -- Latency gauging -- Batching connections -- Prefetching -- Queuing connections -- Caching responses -- Cache control…”

Tabla de Contenidos: “…Unit tests are fast -- Unit tests are deterministic -- Assertions should be as simple as possible -- Unit tests are isolated -- Unit tests cover the code -- Refactor the test -- Collections with wrong elements -- Handling exceptions -- Generics -- Test Driven Development -- Implementing QuickSort -- The partitioning class -- Recursive sorting -- Non-recursive sorting -- Implementing the API class -- Creating modules -- Why modules are needed -- What is a Java module -- Summary -- Chapter 4: Mastermind - Creating a Game -- The Game -- The model of the game -- Java collections -- Interface collection -- Set -- Hash functions -- Method equals -- Method hashCode -- Implementing equals and hashCode -- HashSet -- EnumSet -- LinkedHashSet -- SortedSet -- NavigableSet -- TreeSet -- List -- LinkedList -- ArrayList -- Queue -- Deque -- Map -- HashMap -- IdentityHashMap -- Dependency injection -- Implementing the game -- ColorManager -- The class color -- JavaDoc and code comments -- Row -- Table -- Guesser -- UniqueGuesser -- GeneralGuesser -- The Game class -- Creating an integration test -- Summary -- Chapter 5: Extending the Game - Run Parallel, Run Faster -- How to make Mastermind parallel -- Refactoring -- Processes -- Threads -- Fibers -- java.lang.Thread -- Pitfalls -- Deadlocks -- Race conditions -- Overused locks -- Starving -- ExecutorService -- ForkJoinPool -- Variable access -- The CPU heartbeat -- Volatile variables -- Synchronized block -- Wait and notify -- Lock -- Condition -- ReentrantLock -- ReentrantReadWriteLock -- Atomic classes -- BlockingQueue -- LinkedBlockingQueue -- LinkedBlockingDeque -- ArrayBlockingQueue -- LinkedTransferQueue -- IntervalGuesser -- ParallelGamePlayer -- Microbenchmarking -- Summary -- Chapter 6: Making Our Game Professional - Do it as a Webapp -- Web and network -- IP -- TCP/IP -- DNS -- The HTTP protocol…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Acknowledgments -- Contributors -- Table of Contents -- Preface -- Part 1: Foundations of a Modern Rendering Engine -- Chapter 1: Introducing the Raptor Engine and Hydra -- Technical requirements -- Windows -- Linux -- macOS -- How to read this book -- Understanding the code structure -- Layers of code -- Understanding the glTF scene format -- PBR in a nutshell -- A word on GPU debugging -- Summary -- Further reading -- Chapter 2: Improving Resources Management -- Technical requirements -- Unlocking and implementing bindless rendering -- Checking for support -- Creating the descriptor pool -- Updating the descriptor set -- Update to shader code -- Automating pipeline layout generation -- Compiling GLSL to SPIR-V -- Understanding the SPIR-V output -- From SPIR-V to pipeline layout -- Improving load times with a pipeline cache -- Summary -- Further reading -- Chapter 3: Unlocking Multi-Threading -- Technical requirements -- Task-based multi-threading using enkiTS -- Why task-based parallelism? …”

Tabla de Contenidos: “…Cover -- Title page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Part 1: Understanding Azure Container Technologies -- Chapter 1: Azure Containers - Pleased to Meet You -- Understanding containers and their benefits -- Container characteristics -- Container benefits -- Getting to know containers in the Azure landscape -- Exploring technologies and use cases -- Azure App Service for containers -- Azure Functions for containers -- Azure Container Instances -- Azure Container Apps -- Azure Kubernetes Service -- Azure Container Registry -- Summary -- Chapter 2: Azure App Service - Running a Container Was Never That Difficult -- Understanding Azure App Service for Containers -- Deploying containers to Azure App Service -- Seeing it in action -- The pros and cons of deploying containers on Azure App Service -- Pros -- Cons -- Summary -- Chapter 3: Deploying Containers to Azure Functions -- Understanding Azure Functions for containers -- Deploying containers to Azure Functions -- Docker containers for Azure Functions -- Pros and cons of deploying containers to Azure Functions -- Pros -- Cons -- Summary -- Chapter 4: Azure Container Instances for Serverless Containers -- Understanding ACI -- Container groups -- Networking -- Bursting from Azure Kubernetes Service -- Deploying containers in ACI -- ACI and YAML -- The pros and cons of running containers on ACI -- Pros -- Cons -- Summary -- Chapter 5: Azure Container Apps for Serverless Kubernetes -- Understanding Azure Container Apps -- Environments -- Revisions -- Containers -- Deploying containers to Azure Container Apps -- Pros and cons of running containers on Azure Container Apps -- Pros -- Cons -- Summary -- Chapter 6: Azure Kubernetes Service for Kubernetes in the Cloud -- Understanding how AKS works -- Control plane -- Nodes and node pools -- Versioning…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: From Object-Oriented to Functional Programming -- Java - an introduction -- Java programming paradigms -- Imperative programming -- Real-life imperative example -- Object-oriented paradigm -- Objects and classes -- Encapsulation -- Abstraction -- Inheritance -- Polymorphism -- Declarative programming -- Functional programming -- Working with collections versus working with streams -- An introduction to Unified Modeling Language -- Class relations -- Generalization -- Realization -- Dependency -- Association -- Aggregation -- Composition -- Design patterns and principles -- Single responsibility principle -- Open/closed principle -- Liskov Substitution Principle -- Interface Segregation Principle -- Dependency inversion principle -- Summary -- Chapter 2: Creational Patterns -- Singleton pattern -- Synchronized singletons -- Synchronized singleton with double-checked locking mechanism -- Lock-free thread-safe singleton -- Early and lazy loading -- The factory pattern -- Simple factory pattern -- Static factory -- Simple factory with class registration using reflection -- Simple factory with class registration using Product.newInstance -- Factory method pattern -- Anonymous concrete factory -- Abstract factory -- Simple factory versus factory method versus abstract factory -- Builder pattern -- Car builder example -- Simplified builder pattern -- Anonymous builders with method chaining -- Prototype pattern -- Shallow clone versus deep clone -- Object pool pattern -- Summary -- Chapter 3: Behavioral Patterns -- The chain-of-responsibility pattern -- Intent -- Implementation -- Applicability and examples -- The command pattern -- Intent -- Implementation -- Applicability and examples -- The interpreter pattern -- Intent…”

Tabla de Contenidos: “…-- Container-Managed Transactions -- Bean-Managed Transactions -- Transaction Timeouts -- UpdatingMultipleDatabases -- Transactions in Web Components -- Further Information about Transactions -- 28 Resource Connections -- Resources and JNDINaming -- DataSource Objects and Connection Pools -- Resource Injection -- Resource Adapters and Contracts -- Metadata Annotations -- Common Client Interface -- Further Information about Resources -- Index -- Numbers and Symbols…”

Tabla de Contenidos: “…-- Summary -- Chapter 4: Mastermind - Creating a Game -- The game -- The model of the game -- Java collections -- Interface collection -- Set -- Hash functions -- The equals method -- The hashCode method -- Implementing equals and hashCode -- HashSet -- EnumSet -- LinkedHashSet -- SortedSet -- NavigableSet -- TreeSet -- List -- LinkedList -- ArrayList -- Queue -- Deque -- Map -- HashMap -- IdentityHashMap -- Dependency injection -- Implementing the game -- ColorManager -- The class color -- JavaDoc and code comments -- Row -- Table -- Guesser -- UniqueGuesser -- GeneralGuesser -- The Game class -- Creating an integration test -- Summary -- Chapter 5: Extending the Game - Run Parallel, Run Faster -- How to make Mastermind parallel -- Refactoring -- Processes -- Threads -- Fibers -- java.lang.Thread -- Pitfalls -- Deadlocks -- Race conditions -- Overused locks -- Starving -- ExecutorService -- Completable future -- ForkJoinPool -- Variable access -- The CPU heartbeat -- Volatile variables -- Synchronized block -- Wait and notify -- Lock -- Condition -- ReentrantLock -- ReentrantReadWriteLock -- Atomic variables -- BlockingQueue -- LinkedBlockingQueue -- LinkedBlockingDeque -- ArrayBlockingQueue -- LinkedTransferQueue -- IntervalGuesser -- ParallelGamePlayer -- Microbenchmarking -- Summary -- Chapter 6: Making Our Game Professional - Do it as a Web App -- Web and network -- IP -- TCP/IP -- DNS…”

Tabla de Contenidos: “…Intro -- Cover -- Table of Contents -- Introduction -- About This Book -- About You -- About Objective-C -- What You Need -- How to Read This Book -- Conventions Used in This Book -- PART I: Understanding the Objective-C Language -- HOUR 1: Starting Your First Application: A Calculator -- Setting Up Your Development Tools -- Using Xcode -- Using Interface Builder -- Summary -- Workshop -- Exercise -- HOUR 2: Handling Interaction -- Objective-C -- Binding an Object to the User Interface -- Basic Memory Management -- Invoking Methods on nil -- Type Checking Rules -- Type Equivalence -- Type Checking -- Summary -- Q&amp -- A -- Workshop -- Exercise -- HOUR 3: Simplifying Your Code -- Managing Memory with NSAutoReleasePools -- Objective-C Strings -- Introducing the Debugger -- Understanding Messaging -- Debugging a Real Bug -- Using Shorthands -- Summary -- Q&amp -- A -- Workshop -- Exercises -- HOUR 4: Making the Calculator Calculate -- A Simple Calculator -- Mutable Classes: Making a "Printing" Calculator -- Dynamic Objective-C -- Summary -- Q&amp -- A -- Workshop -- Exercises -- HOUR 5: Adding Variables to the Calculator -- A Better Model/Controller Split -- Using an NSDictionary to Add Variables to the Calculator -- The Key-Value Coding and Observing Protocols -- Summary -- Workshop -- Exercise -- PART II: User-Interface Foundations -- HOUR 6: Understanding How the User Interface Is Built -- User-Interface Building-Blocks: Views -- Building the UI from Views -- Summary -- Q&amp -- A -- Workshop -- Exercise -- HOUR 7: Understanding How Events Are Processed -- Run Loops and Core Foundation -- How Cocoa Uses the Run Loop -- Touch Event Dispatching -- Summary -- Q&amp -- A -- Workshop -- Exercises -- HOUR 8: Drawing User-Interface Elements -- Adding Images to UIButton -- Core Graphics -- Drawing Your Own Button -- Summary -- Q&amp -- A -- Workshop…”

Tabla de Contenidos: “…Testing impure functions -- Summary -- Questions -- Chapter 5: Programming Declaratively - A Better Style -- Transformations -- Reducing an array to a value -- Applying an operation - map() -- Dealing with arrays of arrays -- More general looping -- Logical HOFs -- Filtering an array -- Searching an array -- Higher-level predicates - every() and some() -- Checking negatives - none() -- Working with async functions -- Some strange behaviors -- Async-ready looping -- Working with parallel functions -- Unresponsive pages -- A frontend worker -- A backend worker -- Workers, FP style -- Long-living pooled workers -- Summary -- Questions -- Chapter 6: Producing Functions - Higher-Order Functions -- Wrapping functions - keeping behavior -- Logging -- Timing functions -- Memoizing functions -- Altering a function's behavior -- Doing things once, revisited -- Logically negating a function -- Inverting the results -- Arity changing -- Throttling and debouncing -- Changing functions in other ways -- Turning operations into functions -- Turning functions into promises -- Getting a property from an object -- Demethodizing - turning methods into functions -- Methodizing - turning functions into methods -- Finding the optimum -- Summary -- Questions -- Chapter 7: Transforming Functions - Currying and Partial Application -- A bit of theory -- Currying -- Dealing with many parameters -- Currying by hand -- Currying with bind() -- Partial application -- Partial application with arrow functions -- Partial application with closures -- Partial currying -- Partial currying with bind() -- Partial currying with closures -- Final thoughts -- Variable number of parameters -- Parameter order -- Being functional -- Summary -- Questions -- Chapter 8: Connecting Functions - Pipelining, Composition, and More -- Pipelining -- Piping in Unix/Linux -- Revisiting an example…”

Tabla de Contenidos: “…5.2.1 Die Bedeutung des Deep Learnings für Aufgaben mit kleinen Datenmengen -- 5.2.2 Daten herunterladen -- 5.2.3 Erstellen des neuronalen Netzes -- 5.2.4 Datenvorverarbeitung -- 5.2.5 Datenaugmentation -- 5.3 Verwendung eines vortrainierten CNNs -- 5.3.1 Merkmalsextraktion -- 5.3.2 Feinabstimmung -- 5.3.3 Zusammenfassung -- 5.4 Visualisierung: Was CNNs erlernen können -- 5.4.1 Visualisierung zwischenliegender Aktivierungen -- 5.4.2 Visualisierung von CNN-Filtern -- 5.4.3 Visualisierung der Heatmaps der Klassenaktivierung -- 5.5 Zusammenfassung Kapitel 5 -- Kapitel 6: Deep Learning, Text und sequenzielle Daten -- 6.1 Textdaten -- 6.1.1 One-hot-Codierung von Wörtern und Zeichen -- 6.1.2 Worteinbettung -- 6.1.3 Zusammengefasst: von reinem Text zu Worteinbettungen -- 6.1.4 Zusammenfassung -- 6.2 Rekurrente neuronale Netze -- 6.2.1 Ein rekurrenter Layer in Keras -- 6.2.2 LSTM- und GRU-Layer -- 6.2.3 Ein konkretes LSTM-Beispiel in Keras -- 6.2.4 Zusammenfassung -- 6.3 Erweiterte Nutzung rekurrenter neuronaler Netze -- 6.3.1 Temperaturvorhersage -- 6.3.2 Daten vorbereiten -- 6.3.3 Eine vernünftige Abschätzung ohne Machine Learning -- 6.3.4 Ein elementarer Machine-Learning-Ansatz -- 6.3.5 Ein erstes RNN -- 6.3.6 Rekurrentes Dropout-Verfahren zum Verhindern einer Überanpassung -- 6.3.7 Hintereinanderschaltung rekurrenter Layer -- 6.3.8 Bidirektionale RNNs -- 6.3.9 Noch einen Schritt weiter gehen -- 6.3.10 Zusammenfassung -- 6.4 Verarbeitung von Sequenzen mit CNNs -- 6.4.1 Eindimensionale Faltung sequenzieller Daten -- 6.4.2 Eindimensionales Pooling sequenzieller Daten -- 6.4.3 Implementierung eines eindimensionalen CNNs -- 6.4.4 Lange Sequenzen mit einer Kombination aus CNNs und RNNs verarbeiten -- 6.4.5 Zusammenfassung -- 6.5 Zusammenfassung Kapitel 6 -- Kapitel 7: Bewährte Verfahren des Deep Learnings…”

Tabla de Contenidos: “…3.5.3 The barbershop problem: introducing fairness -- 3.5.4 Readers-writers -- 3.5.4.1 A solution favoring the readers -- 3.5.4.2 Giving priority to the writers -- 3.5.4.3 A fair solution -- 3.6 Monitors -- 3.6.1 Design approach 1: critical section inside the monitor -- 3.6.2 Design approach 2: monitor controls entry to critical section -- 3.7 Applying monitors in classical problems -- 3.7.1 Producers-consumers revisited -- 3.7.1.1 Producers-consumers: buffer manipulation within the monitor -- 3.7.1.2 Producers-consumers: buffer insertion/extraction exterior to the monitor -- 3.7.2 Readers-writers -- 3.7.2.1 A solution favoring the readers -- 3.7.2.2 Giving priority to the writers -- 3.7.2.3 A fair solution -- 3.8 Dynamic vs. static thread management -- 3.8.1 Qt's thread pool -- 3.8.2 Creating and managing a pool of threads -- 3.9 Debugging multithreaded applications -- 3.10 Higher-level constructs: multithreaded programming without threads -- 3.10.1 Concurrent map -- 3.10.2 Map-reduce -- 3.10.3 Concurrent filter -- 3.10.4 Filter-reduce -- 3.10.5 A case study: multithreaded sorting -- 3.10.6 A case study: multithreaded image matching -- Exercises -- Chapter 4: Shared-memory programming: OpenMP -- 4.1 Introduction -- 4.2 Your First OpenMP Program -- 4.3 Variable Scope -- 4.3.1 OpenMP Integration V.0: Manual Partitioning -- 4.3.2 OpenMP Integration V.1: Manual Partitioning Without a Race Condition -- 4.3.3 OpenMP Integration V.2: Implicit Partitioning with Locking -- 4.3.4 OpenMP Integration V.3: Implicit Partitioning with Reduction -- 4.3.5 Final Words on Variable Scope -- 4.4 Loop-Level Parallelism -- 4.4.1 Data Dependencies -- 4.4.1.1 Flow Dependencies -- 4.4.1.2 Antidependencies -- 4.4.1.3 Output Dependencies -- 4.4.2 Nested Loops -- 4.4.3 Scheduling -- 4.5 Task Parallelism -- 4.5.1 The sections Directive -- 4.5.1.1 Producers-Consumers in OpenMP…”

Tabla de Contenidos: “…Chapter 8: Atomic Types and Operations -- 8.1 Introduction -- 8.2 C++11 std::atomic&lt -- T&gt -- Class -- 8.2.1 Member Functions -- 8.3 Lock-Free Algorithms -- 8.3.1 Updating an Arbitrary, Global Data Item -- 8.3.2 AReduction Class -- 8.4 Synchronizing Thread Operations -- 8.4.1 Memory Models and Memory Ordering Options -- 8.4.2 Using the Relaxed Model -- 8.4.3 Global Order in Sequential Consistency -- 8.4.4 Comparing Sequential Consistency and Acquire-Release -- 8.4.5 Consume Instead of Acquire Semantics -- 8.4.6 Usefulness of memory_order_acq_rel -- 8.5 Examples of Atomic Synchronizations -- 8.5.1 SPINLOCK Class -- 8.5.2 Circular Buffer Class -- 8.6 TBB atomic&lt -- T&gt -- Class -- 8.6.1 Memory Ordering Options -- 8.7 Windows Atomic Services -- 8.8 Summary -- Chapter 9: High-Level Synchronization Tools -- 9.1 Introduction and Overview -- 9.2 General Comments on High-Level Synchronization Tools -- 9.3 Overview of the vath Synchronization Utilities -- 9.3.1 Code Organization -- 9.4 Timers -- 9.4.1 Using a Timer -- 9.4.2 Comment on Implementation -- 9.5 Boolean Locks -- 9.5.1 Using the BLock Class -- 9.5.2 BLock Examples -- 9.5.3 Boolean Locks Implementing Spin Waits -- 9.6 SynchP&lt -- T&gt -- Template Class -- 9.6.1 Using SynchP&lt -- T&gt -- Objects -- 9.6.2 Comments -- 9.6.3 SynchP&lt -- T&gt -- Examples -- 9.6.4 OpenMP Version: The OSynchP&lt -- T&gt -- Class -- 9.7 Idle and Spin Barriers -- 9.7.1 Using the Barrier Classes -- 9.7.2 ABarrier Implementation -- 9.8 Blocking Barriers -- 9.8.1 Using a Blocking Barrier -- 9.8.2 First Simple Example -- 9.8.3 Programming a Simple SPMD Thread Pool -- How the worker threads are launched -- How main() drives the worker thread activity -- How worker threads terminate -- Full example -- 9.9 ThQueue&lt -- T&gt -- Class -- Design requirements -- 9.9.1 Using the ThQueue&lt -- T&gt -- Queue…”

Tabla de Contenidos: “…The convolution operation -- 5.1.2. The max-pooling operation -- 5.2. Training a convnet from scratch on a small dataset -- 5.2.1. …”

Tabla de Contenidos: “…13.6 Data and Result Analysis -- 13.7 Conclusion and Future Scope -- References -- 14 Skin Cancer Classification: Analysis of Different CNN Models via Classification Accuracy -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Methodology -- 14.3.1 Dataset Preparation -- 14.3.2 Dataset Loading and Data Pre-Processing -- 14.3.3 Creating Models -- 14.4 Models Used -- 14.5 Simulation Results -- 14.5.1 Changing Size of MaxPool2D(n,n) -- 14.5.2 Changing Size of AveragePool2D(n,n) -- 14.5.3 Changing Number of con2d(32n-64n) Layers -- 14.5.4 Changing Number of con2d-32*n Layers -- 14.5.5 ROC Curves and MSE Curves -- 14.6 Conclusion -- References -- 15 Route Mapping of Multiple Humanoid Robots Using Firefly-Based Artificial Potential Field Algorithm in a Cluttered Terrain -- 15.1 Introduction -- 15.2 Design of Proposed Algorithm -- 15.2.1 Mechanism of Artificial Potential Field -- 15.2.1.1 Potential Field Generated by Attractive Force of Goal -- 15.2.1.2 Potential Field Generated by Repulsive Force of Obstacle -- 15.2.2 Mechanism of Firefly Algorithm -- 15.2.2.1 Architecture of Optimization Problem Based on Firefly Algorithm -- 15.2.3 Dining Philosopher Controller -- 15.3 Hybridization Process of Proposed Algorithm -- 15.4 Execution of Proposed Algorithm in Multiple Humanoid Robots -- 15.5 Comparison -- 15.6 Conclusion -- References -- 16 Innovative Practices in Education Systems Using Artificial Intelligence for Advanced Society -- 16.1 Introduction -- 16.2 Literature Survey -- 16.2.1 AI in Auto-Grading -- 16.2.2 AI in Smart Content -- 16.2.3 AI in Auto Analysis on Student's Grade -- 16.2.4 AI Extends Free Intelligent Tutoring -- 16.2.5 AI in Predicting Student Admission and Drop-Out Rate -- 16.3 Proposed System -- 16.3.1 Data Collection Module -- 16.3.2 Data Pre-Processing Module -- 16.3.3 Clustering Module -- 16.3.4 Partner Selection Module…”

Tabla de Contenidos: “…Evaluating machine learning models -- Training, validation, and test split -- Simple holdout validation -- K-fold validation -- K-fold validation with shuffling -- Data representativeness -- Time sensitivity -- Data redundancy -- Data preprocessing and feature engineering -- Vectorization -- Value normalization -- Handling missing values -- Feature engineering -- Overfitting and underfitting -- Getting more data -- Reducing the size of the network -- Applying weight regularization -- Dropout -- Underfitting -- Workflow of a machine learning project -- Problem definition and dataset creation -- Measure of success -- Evaluation protocol -- Prepare your data -- Baseline model -- Large model enough to overfit -- Applying regularization -- Learning rate picking strategies -- Summary -- Chapter 5: Deep Learning for Computer Vision -- Introduction to neural networks -- MNIST - getting data -- Building a CNN model from scratch -- Conv2d -- Pooling -- Nonlinear activation - ReLU -- View -- Linear layer -- Training the model -- Classifying dogs and cats - CNN from scratch -- Classifying dogs and cats using transfer learning -- Creating and exploring a VGG16 model -- Freezing the layers -- Fine-tuning VGG16 -- Training the VGG16 model -- Calculating pre-convoluted features -- Understanding what a CNN model learns -- Visualizing outputs from intermediate layers -- Visualizing weights of the CNN layer -- Summary -- Chapter 6: Deep Learning with Sequence Data and Text -- Working with text data -- Tokenization -- Converting text into characters -- Converting text into words -- N-gram representation -- Vectorization -- One-hot encoding -- Word embedding -- Training word embedding by building a sentiment classifier -- Downloading IMDB data and performing text tokenization -- torchtext.data -- torchtext.datasets -- Building vocabulary -- Generate batches of vectors…”