Tabla de Contenidos: “…Sexism and Gender Bias in the Audio Industry "Opting out" of the conversation Sexual Harassment On motherhood On Age The Annenberg Study Recording Academy Task Force The Grammys and Recording Academy Class of 2019 Audio Engineering Society 2019 Chapter Two: Outreach: Organizations and Current Initiatives Pull Digital Audio Eco Feminism Erin Barra and Beats By Girlz (USA) Fun Facts: Ableton Live and Ableton Push Phebean Adedamola Oluwagbemi (Nigeria) Audio Girl Africa (Nigeria) Female Frequency (USA) Dani Mari (USA) I Am Snow Angel (USA) Women in Sound Zine and Madeleine Campbell (USA) Gender Amplified (USA) Ebonie Smith (USA) The Creator's Suite (USA) Abhita Austin (USA) Yorkshire Sound Women Network (England) International Women Working in Film Sound Women (United Kingdom) Terri Winston and Women's Audio Mission (USA) SoundGirls.org Chapter Three: Radio and Podcasts Careers in radio and podcasts Tools of the Trade: Radio Cathy Hughes (USA) Ann Charles (England) Ioana Barbu Caryl Owen (USA) Suraya Mohamed (USA) Lorna White (USA) Nadia Hassan-Garschagen (Germany) Podcasts Chapter Four: Sound for Television & Film Careers in Sound for Film and Television Feature Films and Documentaries Post Production Live Broadcast Tools of the Trade: Location Sound Tools of the Trade: Post Production for television and film Jan McLaughlin, CAS (USA) Judi Lee-Headman (England) Lori Dovi (USA) Ai-Ling Lee (Singapore) April Tucker (USA) Karol Urban, CAS (USA) Haniya Aslam (Pakistan) 'Lisa' Xiang Li (China) Sajida Khan (India) Catharine Wood (USA) Anna Bertmark (Sweden) Chapter Five: Music Recording and Electronic Music Careers in Music Recording and Electronic Music Electronic Music Pamela Z Suzanne Ciani Cecilia Wu (China) Producers Kay Huang (Taiwan) Elaine Martone (USA) Erica Brenner (USA) Linda Briceño (Venezuela) Virginia Read (Australia) Mastering Engineers Emily Lazar (USA) Jett Galindo (Philippines) Piper Payne (USA) Anna Frick (USA) Darcy Proper (USA) Fun facts: Vinyl Mastering Fun Facts: Loudness Wars Recording Engineers Lenise Bent (USA) Erin Tonkon (USA) Jill Zimmermann (Germany) Wendy Beines (Argentina) Other Women in Music Recording Chapter Six: Hardware and Software Design Careers in Hardware and Software Fun Facts: Make your own Audio Plugin with MATLAB Tools of the Trade: Hardware and Software Design Laurie Spiegel (USA) Carla Scaletti (USA) EveAnna Dauray Manley (USA) Marina Bosi (Italy) Erisa Sato (Japan) Elisabeth Löchen (France) Marie Louise Killick (England) Carol Bousquet (USA) Dawn Birr (USA) Other women in Hardware and Software Chapter Seven: Acoustics and Design Careers in Acoustics Tools of the Trade: Acoustics Fun Facts: Weighting Curves Jamie Angus-Whiteoak (England) Fun Facts: Spread Spectrum Elizabeth Cohen (USA) Samantha Weller (USA) Fun Facts: Ray Tracing Orla Murphy (Ireland) Fun Facts: Ear Training and Critical Listening Linda Gedemer (USA) Women in Acoustics Committee Chapter Eight: Live and Theater Sound Careers in Live Sound: Tools of the Trade: Live Sound Fun Facts: Safe Listening Levels Kathy Sander-Olhoeft (USA) Betty Cantor-Jackson (USA) Brandie Lane (USA) Karrie Keyes (USA) Michelle Sabolchick Pettinato (USA) Fela Davis Carolina Anton (Mexico) Leya Soraide (Bolivia) Tzu-Wei Peng (Taiwan) Jessica Paz (USA) Chapter Nine: Education A brief history of audio education Academic Standards Careers in Higher Education Education-related Volunteer and Non-Profit Work Tools of the Trade: Education Martha de Francisco (Columbia) Robin Coxe-Yeldham (USA) Theresa Leonard (Canada) Lisa Nigris (USA) Valeria Palomino (Mexico) Liz Dobson Cosette Collier (USA) Chapter Ten: Games, Immersive Sound, and Audio for Virtual, Augmented, and Mixed Reality Tools of the Trade: Game Sound Tools of the Trade: Immersive Audio Tools of the Trade: Binaural Audio Other tools Women in Game Sound: Industry Statistics Winifred Phillips (USA) Eiko Ishiwata (Canada) Ayako Yamauchi (Japan) Fun Facts: Ambisonics Emily Ridgeway (Australia) Fun Facts: Head Related Transfer Functions Khris Brown (USA) Fun Facts: TASCAM Portastudio Pam Aronoff (USA) Fun Facts: Wwise Anastasia Devana (Russia) Fun Facts: Virtual, Augmented, and Mixed Reality Victoria Dorn (USA) Sally Kellaway (Australia) Fei Yu (China) About the Author Glossary Recommended Reading Appendix 1 Appendix 2…”

Tabla de Contenidos: “…Quantitative metrics - counting things and inferring quality -- Visualizing research results for maximum influence -- Donut charts for capturing qualitative metrics -- Utilizing 'why' and 'how' in managerial decision-making -- Using basic math to pivot to qualitative metrics -- Summary -- Chapter 11: Live by Your Data, Die by Your Data -- Data - the beating heart of business -- Understanding and utilizing taxonomy -- Getting a sense of the scope -- Scoping breadth and depth -- Finding database information -- Finding out what matters -- Understanding how your stakeholders want to see data -- Visualizing the KPIs for quick decision-making -- Investigating gaps and missing data -- Finding and fixing data problems -- Summary -- Chapter 12: The Tools It Takes to Gather and Consolidate Information -- A brief overview of UX analytics tools -- Evaluating and selecting tools -- Determining what is best for your needs -- Quantifying findings for reports -- Quantitative data scenario for an application -- Summary -- Part 4: Strategy -- Chapter 13: Digital Transformation - An Enterprise Use of UX Analytics -- The need for digital transformation -- Rolling out a digital transformation effort -- How UX analytics supports the plan -- Monitoring and evaluating user data -- Statistics on user expectations -- Continuous monitoring for early problem detection -- The leadership team -- If you're on the leadership team -- Managing up -- Working with your teams -- Breaking down silos -- Working with your peers -- Supporting your leadership team -- Being a supportive teammate -- Unlocking the relationships between the roles -- Tackling the need for new/additional changes -- Summary -- Chapter 14: Content Strategy and Analysis - an Analytics-Based, User-Centric Approach -- Understanding the difference between content and data -- Content performance analysis…”

Tabla de Contenidos: “…-- Back to the Scientific Method -- Unit Cost-Centric Efficiency-A Deep and Universal Truth -- Chapter 6: Efficiency, Flow, and the Right Measures -- The "Right" Measures -- Defining Cost -- Chapter 7: Our Current Accounting Measuring Mess -- Reason 1: The Proliferation of ERP/MRP II -- Reason 2: The Growing Distance between the Front Office and Operations -- Reason 3: The Fading Away of Management Accounting -- Gap Explanation 1: An Increase in Complexity -- Gap Explanation 2: The Shift from Linear to Nonlinear Systems -- Silo Thinking -- Challenging a Deep Truth by Definition Shakes Up the Status Quo -- Chapter 8: The Evolution of Flow and ROI as Strategy -- The Birth of Product Costing -- The Birth of Decentralized Management -- An Accelerant-Andrew Carnegie -- The Rise of Wholesale Distribution and Large-Scale Retail -- The Birth of Conglomerates and Management Accounting -- Automation and the Death of the Craftsman -- Ford versus General Motors-A Lesson of Relevancy -- How Did GM Beat Ford? -- The Birth of Push and Promote -- Systemizing the Management of ROI -- The Emphasis on GAAP and the Rise of Unfocused Improvement and Outsourcing -- Chapter 9: A Case Study-The Boeing Dreamliner -- The Boeing Dreamliner -- Chapter 10: Complexity Science and Supply Chains -- The Newtonian Way -- The Push Beyond Newton -- Complexity -- Chaos and Complexity Theory Maturation -- Supply Chains as Complex Adaptive Systems -- The Simplicity in Complexity -- Understanding Complex Systems…”

Tabla de Contenidos: “…The Problem to Solve -- Discovering the Solution -- The Results -- Part VII Transformation Story: Datasite -- Part VIII Transformation Techniques -- Chapter 28 Transformation Outcome -- Chapter 29 Transformation Assessment -- Overview -- Be Realistic -- Talk to All Levels -- Look for Evidence -- Look Below the Surface -- Be Kind -- High-Level Assessment -- How Products Are Built and Deployed -- How Problems Are Solved -- How You Decide Which Problems to Solve -- The Detailed Assessment -- Product Model Competencies -- Product Model Concepts -- Innovation Theatre -- Chapter 30 Transformation Tactics-Competencies -- Product Model Competencies -- New Job Definitions -- Role Balancing -- New Recruiting Practices -- Assessments and Coaching Plans -- Onboarding Programs -- Chapter 31 Transformation Tactics-Concepts -- Product Teams -- Team Chemistry -- Team Durability -- Review Team Topology -- Dealing with Distributed Teams and Remote Employees -- Product Delivery -- Product Discovery -- Driving Up Customer Interaction -- Discovery Sprints -- Hack Days -- Product Strategy -- Create Product Vision -- Create Product Strategy -- Portfolio Management -- Funding Product Teams -- Implement Team Objectives -- Product Vision or Strategy Sprints -- Product Culture -- Hack Days -- Customer Engagement -- Innovation Accounting -- Culture Retrospectives -- Chapter 32 Transformation Tactics-Adoption -- Pilot Teams -- Product Model Dimensions -- Top Down and Bottom Up -- Coaching Stakeholders -- Stakeholder Briefings -- Managing Existing Commitments -- Chapter 33 Transformation Evangelism -- The Transformation Plan -- Note on Task Ownership -- Continuous Evangelism -- The Value of Quick Wins -- Constantly Beat the Drum -- Transformation Setbacks -- Chapter 34 Transformation Help -- Managers as Coaches -- In-House Product Coaches -- External Product Coaches…”

Tabla de Contenidos: “…House of the future (Wildhaus, Switzerland) / Architheke (Beat Klaus). Factory building (Eimbeckhausen, Germany) / Thomas Herzog with Bernd Steigerwald, Holger Gestering. …”

Tabla de Contenidos: “…7.2.1 Implementing the stem -- 7.2.2 Implementing Inception-ResNet type A block -- 7.2.3 Implementing the Inception-ResNet type B block -- 7.2.4 Implementing the reduction block -- 7.2.5 Putting everything together -- 7.2.6 Training Minception -- 7.3 If you can't beat them, join 'em: Using pretrained networks for enhancing performance -- 7.3.1 Transfer learning: Reusing existing knowledge in deep neural networks -- 7.4 Grad-CAM: Making CNNs confess -- Summary -- Answers to exercises -- 8 Telling things apart: Image segmentation -- 8.1 Understanding the data -- 8.2 Getting serious: Defining a TensorFlow data pipeline -- 8.2.1 Optimizing tf.data pipelines -- 8.2.2 The final tf.data pipeline -- 8.3 DeepLabv3: Using pretrained networks to segment images -- 8.3.1 A quick overview of the ResNet-50 model -- 8.3.2 Atrous convolution: Increasing the receptive field of convolution layers with holes -- 8.3.3 Implementing DeepLab v3 using the Keras functional API -- 8.3.4 Implementing the atrous spatial pyramid pooling module -- 8.3.5 Putting everything together -- 8.4 Compiling the model: Loss functions and evaluation metrics in image segmentation -- 8.4.1 Loss functions -- 8.4.2 Evaluation metrics -- 8.5 Training the model -- 8.6 Evaluating the model -- Summary -- Answers to exercises -- 9 Natural language processing with TensorFlow: Sentiment analysis -- 9.1 What the text? …”

Tabla de Contenidos: “…-- Being human makes us biased -- We see outcomes and not probabilities -- Can we beat our biases? -- References for Chapter 7 -- Chapter 8 Our Brain and Creativity -- About this chapter -- Part 1: The science explained -- How does creativity work in our brain? …”

Tabla de Contenidos: “…-- Lab topology -- Elastic Stack as a service -- First End-to-End example -- Elasticsearch with a Python client -- Data ingestion with Logstash -- Data ingestion with Beats -- Search with Elasticsearch -- Data visualization with Kibana -- Summary -- Chapter 14: Working with Git -- Content management considerations and Git -- Introduction to Git -- Benefits of Git -- Git Terminology -- Git and GitHub -- Setting up Git -- Gitignore -- Git Usage Examples -- Git Branch -- GitHub Example -- Collaborating with Pull Requests -- Git with Python -- GitPython -- PyGitHub -- Automating Configuration Backup -- Collaborating with Git -- Summary -- Chapter 15: Continuous Integration with GitLab…”

Tabla de Contenidos: “…Topic-Based Content Routing -- Alternate Exchanges -- Dead-Letter Exchanges -- Summary -- Chapter 7: Building a Robust and Fault-Tolerant Data Collection System -- Apache Flume -- Flume event flow reliability -- Flume multi-agent flow -- Flow multiplexer -- Apache Sqoop -- ELK -- Beats -- Load-balancing -- Logstash -- Back pressure -- High-availability -- Centralized collection of distributed data -- Apache Nifi -- Summary -- Chapter 8: Challenges of Data Processing -- Making sense of the data -- What is data processing? …”

Tabla de Contenidos: “…-- What Innovations Will Come Next for Customer Education? -- Beating the Challenge of Measurement -- Learning Anywhere -- The Development of an Agile Growth Mindset -- Changing Customer Expectations -- It All Starts and Ends with . . . …”

Tabla de Contenidos: “…Garthwaite Deformation Monitoring in On the Design of Multi-Frequency InSAR Radar Corner Reflectors for Reprinted from: Remote Sens. 2017, 9, 648, doi: 10.3390/rs9070648 -- Andrea Monti-Guarnieri, Davide Giudici and Andrea Recchia Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data Reprinted from: Remote Sens. 2017, 9, 1183, doi: 10.3390/rs9111183 -- Heng Zhang, Jiangwen Tang, Robert Wang, Yunkai Deng, Wei Wang and Ning Li An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing Reprinted from: Remote Sens. 2018, 10, 140, doi: 10.3390/rs10010140 -- Seok Kim, Jiwoong Yu, Se-Yeon Jeon, Aulia Dewantari and Min-Ho Ka Signal Processing for a Multiple-Input, Multiple-Output (MIMO) Video Synthetic Aperture Radar (SAR) with Beat Frequency Division Frequency-Modulated Continuous Wave (FMCW) Reprinted from: Remote Sens. 2017, 9, 491, doi: 10.3390/rs9050491 -- Jeong-Won Park, Jae Hun Kim and Joong-Sun Won Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image Reprinted from: Remote Sens. 2017, 9, 926, doi: 10.3390/rs9090926 -- Yuncheng Bu, Xingdong Liang, Yu Wang, Fubo Zhang and Yanlei Li A Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System Reprinted from: Remote Sens. 2018, 10, 456, doi: 10.3390/rs10030456 -- Markus Even and Karsten Schulz InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances Reprinted from: Remote Sens. 2018, 10, 744, doi: 10.3390/rs10050744 -- Xin Tian, Rakesh Malhotra, Bing Xu, Haoping Qi and Yuxiao Ma Modeling Orbital Error in InSAR Interferogram Using Frequency and Spatial Domain Based Methods Reprinted from: Remote Sens. 2018, 10, 508, doi: 10.3390/rs10040508 -- Cheng Wang, Liang Chen, Haisheng Zhao, Zheng Lu, Mingming Bian, Running Zhang and Jian Feng Ionospheric Reconstructions Using Faraday Rotation in Spaceborne Polarimetric SAR Data Reprinted from: Remote Sens. 2017, 9, 1169, doi: 10.3390/rs9111169 -- Yuting Dong, Houjun Jiang, Lu Zhang and Mingsheng Liao An Efficient Maximum Likelihood Estimation Approach of Multi-Baseline SAR Interferometry for Refined Topographic Mapping in Mountainous Areas Reprinted from: Remote Sens. 2018, 10, 454, doi: 10.3390/rs10030454 -- Jingwen Zhao, Jicang Wu, Xiaoli Ding and Mingzhou Wang Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai Reprinted from: Remote Sens. 2017, 9, 897, doi: 10.3390/rs9090897 -- Julia Neelmeijer, Tilo Schöne, Robert Dill, Volker Klemann and Mahdi Motagh Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data-A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series Reprinted from: Remote Sens. 2018, 10, 462, doi: 10.3390/rs10030462 -- Luyi Sun, Jan-Peter Muller and Jinsong Chen Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking Reprinted from: Remote Sens. 2017, 9, 1314, doi: 10.3390/rs9121314 -- Xuguo Shi, Houjun Jiang, Lu Zhang and Mingsheng Liao Landslide Displacement Monitoring with Split- Bandwidth Interferometry: A Case Study of the Shuping Landslide in the Three Gorges Area Reprinted from: Remote Sens. 2017, 9, 937, doi: 10.3390/rs9090937 -- Ludivine Libert, Dominique Derauw, Nicolas d'Oreye, Christian Barbier and Anne Orban Split-Band Interferometry-Assisted Phase Unwrapping for the Phase Ambiguities Correction Reprinted from: Remote Sens. 2017, 9, 879, doi: 10.3390/rs9090879 -- Ali Ghafouri, Jalal Amini, Mojtaba Dehmollaian and Mohammad Ali Kavoosi Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data Reprinted from: Remote Sens. 2017, 9, 445, doi: 10.3390/rs9050445 -- Gerardo Di Martino, Antonio Iodice, Daniele Riccio, Giuseppe Ruello and Ivana Zinno The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data Reprinted from: Remote Sens. 2018, 10, 9, doi: 10.3390/rs10010009 -- Xinping Deng, Carlos López-Martínez, Jinsong Cheng and Pengpeng Han Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges Reprinted from: Remote Sens. 2017, 9, 348, doi: 10.3390/rs9040348 -- Qihao Chen, Linlin Li, Qiao Xu, Shuai Yang, Xuguo Shi and Xiuguo Liu Multi-Feature Segmentation for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach Reprinted from: Remote Sens. 2017, 9, 570, doi: 10.3390/rs9060570 -- Chensong Tao, Siwei Chen, Yongzhen Li and Shunping Xiao PolSAR Land Cover Classification Based on Roll-Invariant and Selected Hidden Polarimetric Features in the Rotation Domain Reprinted from: Remote Sens. 2017, 9, 660, doi: 10.3390/rs9070660 -- Andreas Braun and Volker Hochschild A SAR-Based Index for Landscape Changes in African Savannas Reprinted from: Remote Sens. 2017, 9, 359, doi: 10.3390/rs9040359 -- Amir Behnamian, Sarah Banks, Koreen Milard, Lori White, Jon Pasher, Zhaohua Chen, Jason Duff, Laura Bourgeau-Chavez and Michael Battaglia Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study Reprinted from: Remote Sens. 2017, 9, 1209, doi: 10.3390/rs9121209 -- Prosper Washaya, Timo Balz and Bahaa Mohamadi Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas Reprinted from: Remote Sens. 2018, 10, 1026, doi: 10.3390/rs10071026 -- Aobo Zhai, Xianbin Wen, Haixia Xu, Liming Yuan and Qingxia Meng Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images Reprinted from: Remote Sens. 2017, 9, 1085, doi: 10.3390/rs9101085 -- Yusuf Eshqi Molan, Jin-Woo Kim, Zhong Lu and Piyush Agram L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska Reprinted from: Remote Sens. 2018, 10, 150, doi: 10.3390/rs10010150…”

Tabla de Contenidos: “…-- Toward a theory of error -- Testing software - an example -- Testing software - an analysis -- Quick attacks - the airdropped tester -- Test design - input space coverage -- Equivalence classes and boundaries -- Decision tables -- Decision trees -- All-pairs and pairwise testing -- High volume automated approaches -- Other approaches -- Data and predictability - the oracle problem -- Summary -- Further reading -- Chapter 2: Fundamental Issues in Tooling and Automation -- Technical requirements -- No silver bullets - you can't radically fix the test cycle -- The minefield regression problem -- Coverage model -- The Battleships problem - testing versus checking -- Comparing Battleships to bugs -- Automation rarely beats human intuition -- The maintenance problem -- The dangers of comprehensive tests -- The money problem -- Lessons from the fundamental issues -- Summary -- Chapter 3: Programmer-Facing Testing -- Technical requirements -- The programmer's view -- Testing and reliability -- The hexagonal architecture -- Introducing FizzBuzz -- Unit tests -- TDD -- Consequences of TDD -- Unit test and unit code design -- Using test doubles to create seams -- Mutation testing -- Web APIs from a test perspective -- Web API testing strategy -- Testing functional and legacy code -- A Roman Numerals Kata -- Summary -- Chapter 4: Customer-Facing Tests -- Technical requirements -- A word of warning -- Human Or Tooling-is it either/or? …”

Tabla de Contenidos: “…The Melodic Mind: Harmonizing Marketing and Neuroscience -- Rhythm and Reason: The Neuroscience of Beats in Marketing -- Audio Visual Synchrony - Timing Is Everything -- Sounds of Attention - What We Have Evolved to Pay Attention To -- Voice of Authority - The Role of Pitch, Tone, and Timbre -- Extracting Emotions Evoked by Music - Anthropocentric Models -- The mu score -- Generating Music Evoking Particular Emotions - Music Transformers -- Chapter 16 adGPT - neuroAi-Powered Advertising -- neuroAi Nuance: Graceful Weaving of Story and Product -- Subtle yet Present, Implicit Branding -- Composing and Activating the Sensory Iconic Brand or Product Signature -- Changeup the Beginning of an Ad - Stress versus Opportunity -- Loved That Ad - But Wait, What Was It For? …”

Tabla de Contenidos: “…-- Writing Your Press Release -- The Anatomy of a Press Release -- Developing the Body Copy -- Embedded Links -- Attaching Multimedia to Your Press Release -- Press Release Signature -- Publishing and Distributing Your Press Release -- When to Launch Your Press Release -- 10 Pricing Your App -- Competing Against Free Apps -- Be Found -- Make Your App Better -- Make Your App More Intuitive -- Provide Better Graphics -- Create Documentation -- Offer Some Technical Support -- Develop a Reputation for Customer Service -- Go Viral -- Some Pricing Misconceptions -- Offer a Free Version of Your App -- Setting Your App's Price -- 11 Conducting an App Pricing Analysis -- Cost/Benefit Analysis -- Quantifying App Development Costs -- Quantifying the Benefits -- Performing a Cost/Benefit Comparison -- Breakeven Analysis -- Some Caveats -- 12 Selling Value over Price -- Selling Value -- Selling Quality -- Selling Usefulness -- Selling Return on Investment -- Additional Thoughts on Selling Value -- 13 Breaking into the App Store Top 100 -- Develop a Great App -- Beat Up Your App Mercilessly -- Have Friends in High Places -- Cross-Promote -- Price It Right -- Integrate Your App with Other Apps -- Optimize Your Web and App Store Copy -- Develop Your Brand and Promote It Like Crazy -- Reach Out to Apple…”

Tabla de Contenidos: “…. -- Chapter 6: Advanced Deep Learning Architectures for Time Series Forecasting -- Technical requirements -- Interpretable forecasting with N-BEATS -- Getting ready -- How to do it... -- How it works... -- There's more...…”

Tabla de Contenidos: “….: In nomine domini nostri Ihesuchristi et beate Marie Virginis Gloriose, nouerint uniuersi (h . 56 r.) . 30 . …”

Tabla de Contenidos: “…-- Chapter 9: China: Price => Value-Add -- Free! (Try to Beat That!)…”

Tabla de Contenidos: “…Reducing the problem to statistics -- Understanding that deep learning doesn't create -- Mimicking an Artist -- Defining a new piece based on a single artist -- Combining styles to create new art -- Visualizing how neural networks dream -- Using a network to compose music -- Chapter 16 Building Generative Adversarial Networks -- Making Networks Compete -- Finding the key in the competition -- Achieving more realistic results -- Considering a Growing Field -- Inventing realistic pictures of celebrities -- Enhancing details and image translation -- Chapter 17 Playing with Deep Reinforcement Learning -- Playing a Game with Neural Networks -- Introducing reinforcement learning -- Simulating game environments -- Presenting Q-learning -- Explaining Alpha-Go -- Determining if you're going to win -- Applying self-learning at scale -- Part 4 The Part of Tens -- Chapter 18 Ten Applications that Require Deep Learning -- Restoring Color to Black-and-White Videos and Pictures -- Approximating Person Poses in Real Time -- Performing Real-Time Behavior Analysis -- Translating Languages -- Estimating Solar Savings Potential -- Beating People at Computer Games -- Generating Voices -- Predicting Demographics -- Creating Art from Real-World Pictures -- Forecasting Natural Catastrophes -- Chapter 19 Ten Must-Have Deep Learning Tools -- Compiling Math Expressions Using Theano -- Augmenting TensorFlow Using Keras -- Dynamically Computing Graphs with Chainer -- Creating a MATLAB-Like Environment with Torch -- Performing Tasks Dynamically with PyTorch -- Accelerating Deep Learning Research Using CUDA -- Supporting Business Needs with Deeplearning4j -- Mining Data Using Neural Designer -- Training Algorithms Using Microsoft Cognitive Toolkit (CNTK) -- Exploiting Full GPU Capability Using MXNet -- Chapter 20 Ten Types of Occupations that Use Deep Learning -- Managing People…”

Tabla de Contenidos: “…. -- See also... -- Learning to beat the previous MNIST state-of-the-art results with Capsule Networks -- Getting ready -- How to do it... -- How it works... -- There's more... -- Chapter 12: Distributed TensorFlow and Cloud Deep Learning -- Introduction -- Working with TensorFlow and GPUs -- Getting ready -- How to do it... -- How it works... -- Playing with Distributed TensorFlow: multiple GPUs and one CPU -- Getting ready -- How to do it... -- How it works... -- Playing with Distributed TensorFlow: multiple servers -- Getting ready -- How to do it... -- How it works... -- There is more... -- Training a Distributed TensorFlow MNIST classifier -- Getting ready -- How to do it... -- How it works... -- Working with TensorFlow Serving and Docker…”

Tabla de Contenidos: “…Cover -- Preface -- Contents -- Part I: Audio and Video Systems -- Chapter 1: Wave Motion -- Mechanical Waves -- Types of Waves -- Longitudinal Waves -- Wave Properties -- Energy Dissipation and Wave Motion -- Intensity of a Wave -- Sound Level -- Properties of Sound Waves -- Transverse Waves -- Refraction of Waves -- Reflection of Waves -- Interference of Waves -- Superposition of Waves -- Complex Waves -- Beats -- Forced Vibrations -- Resonance -- Echoes -- Descriptive Questions -- Multiple Choice Questions -- Fill in the Blanks -- Numerical Questions -- Chapter 2: Microphones -- Microphone -- Characteristics of Microphones -- Output Level -- Frequency Response -- Output Impedance -- Directivity -- Carbon Microphones -- Crystal Microphones -- Moving Coil (Dynamic) Microphones -- Ribbon (Velocity) Microphones -- Capacitor Microphones -- Electret Microphones -- Gun Microphones -- Parabolic Reflector -- Lavalier Microphones -- Tie-clip Microphones -- Wireless Microphones -- Dual-unit Microphones -- Electrical, Mechanical and Acoustical Analogs -- Descriptive Questions -- Multiple Choice Questions -- Fill in the Blanks -- Chapter 3: Headphones and Hearing Aids -- Headphones and Headsets -- Types of Headphones -- Moving-iron Headphones -- Crystal Headphones -- Dynamic Headphones -- Electrostatic Phones -- Electret Electrostatic Headphones -- Hearing Impairments -- Audiometry -- Air Conduction -- Bone Conduction -- Un-Comfortable Level (UCL) -- Most Comfortable Level (MCL) -- Masking -- Speech Audiometry -- Impedance Audiometry -- Hearing Aids -- Full Concha Model -- Canal Models -- Body Worn Aids -- Hearing Glasses -- CROS/BICROS -- Hearing Aid Models -- Inside a Hearing Aid -- The Microphone -- The Telecoil -- Audio Input -- The Amplifier -- The Discrete Amplifier -- Thin Film Amplifier -- Thick Film Amplifier -- Integrated Circuits (IC)…”