Tabla de Contenidos: “…Lavado Paradinas -- El arte de la construcción mudéjar en Portugal / Dolores Villalba Sola y Francisco José Díaz Marcilla -- La morería de Altura (Castellón) a fines del siglo XIV e inicios del XV. Aproximación a unos mudéjares casi desconocidos / Joaquín Aparici Martí -- Papel social y religioso de sidi Abû-l-Gaiz al-Qachchâch en favor de los moriscos desde las fuentes contemporáneas / Cherifa Ben Hassine -- La decoración arquitectónica de tipo vegetal en Santa María la Blanca de Toledo, una reflexión acerca dela pervivencia de modelos clásicos e islámicos en el arte mudéjar / Alicia Carrillo Calderero y Pedro Marfil Ruiz -- Barqueros y arráeces mudéjares y moriscos en el río Ebro (siglos XV y XVI) / Manuel Gómez de Valenzuela -- Las portadas de los templos parroquiales de Niebla (Huelva): influencias norteafricanas y granadinas en la arquitectura del reino de Sevilla / Enrique Infante Limón -- Hacia una iconografía vegetal de la abundancia: la pareja vid y palmera / Christiane Kothe…”

Tabla de Contenidos: “…Image Segmentation -- Pretrained Support from PyTorch -- Semantic Segmentation -- Instance Segmentation -- Fine-Tuning the Model -- Summary -- Chapter 5: Image-Based Search and Recommendation System -- Problem Statement -- Approach and Methodology -- Implementation -- The Dataset -- Installing and Importing Libraries -- Importing and Understanding the Data -- Feature Engineering -- ResNet18 -- Calculating Similarity and Ranking -- Visualizing the Recommendations -- Taking Image Input from Users and Recommending Similar Products -- Summary -- Chapter 6: Pose Estimation -- Top-Down Approach -- Bottom-Up Approach -- OpenPose -- Branch-1 -- Branch-2 -- HRNet (High-Resolution Net) -- Higher HRNet -- PoseNet -- How Does PoseNet Work? …”

Tabla de Contenidos: “…Solution; 1.8.3. Discussion; 1.9. Fine-Tuning Data Filtering with Subqueries; 1.9.2. …”

Tabla de Contenidos: “…Creating stars -- Incorporating video and audio layers -- Applying a Cartoon effect -- Adding a title bar -- Using Brainstorm to experiment -- Review questions and answers -- 5 ANIMATING A MULTIMEDIA PRESENTATION -- Lesson overview -- Getting started -- Animating the scenery using parenting -- Adjusting an anchor point -- Masking video using vector shapes -- Keyframing a motion path -- Animating additional elements -- Applying an effect -- Creating an animated slide show -- Adding an audio track -- Zooming in for a final close-up -- Review questions and answers -- 6 ANIMATING LAYERS -- Lesson overview -- Getting started -- Simulating lighting changes -- Duplicating an animation using the pick whip -- Animating movement in the scenery -- Adjusting the layers and creating a track matte -- Animating the shadows -- Adding a lens flare effect -- Animating the clock -- Retiming the composition -- Review questions and answers -- 7 WORKING WITH MASKS -- Lesson overview -- About masks -- Getting started -- Creating a mask with the Pen tool -- Editing a mask -- Feathering the edges of a mask -- Replacing the content of the mask -- Adding a reflection -- Creating a vignette -- Adjusting the color -- Review questions and answers -- 8 DISTORTING OBJECTS WITH THE PUPPET TOOLS -- Lesson overview -- Getting started -- About the Puppet tools -- Adding Deform pins -- Defining areas of overlap -- Stiffening an area -- Animating pin positions -- Recording animation -- Review questions and answers -- 9 USING THE ROTO BRUSH TOOL -- Lesson overview -- About rotoscoping -- Getting started -- Creating a segmentation boundary -- Fine-tuning the matte -- Creating a transition from the full clip to the foreground -- Creating the logo -- Animating text -- Adding a background image -- Adding audio -- Review questions and answers -- 10 PERFORMING COLOR CORRECTION…”

Tabla de Contenidos: “…Hazard Compensation and Incentive Systems: An Economic Perspective -- PROBLEM CHARACTERISTICS -- DESIGNING INCENTIVE SYSTEMS FOR PROTECTIVE ACTIVITIES -- Broadening the Time Horizon -- Reducing Insurance Premiums -- Penalties and Fines -- COMPENSATION IN SITING TECHNOLOGICAL FACILITIES -- Stages in the Siting Process -- Stage 1: Building the Facility -- Massachusetts Hazardous Waste Facility Siting Authority Act -- Wes-Con, Inc. -- Gray Rocks Power Plant -- LNG Facility in Wilhelmshaven -- Stage 2: Living With the Site -- Antonelli Corporation -- Wes-Con, Inc. -- Stage 3: Accidents -- Federal-Private Insurance -- Self-Insurance Funds -- Integrating Stakeholders and Stages -- Perception of Risk -- Eliciting Preferences for Communities -- CONCLUSIONS -- NOTES -- References -- PART 3 MANAGING TECHNOLOGICAL HAZARDS -- Economic, Legal, and Practical Problems in Hazardous Waste Cleanup and Management -- HOW CLEAN IS CLEAN? …”

Tabla de Contenidos: “…Understanding the benefits of diverse human labeling -- Understanding common challenges arising from human labelers -- Designing a framework for high-quality labels -- Designing clear instructions -- Aligning motivations and using SMEs -- Collaborating iteratively -- Dealing with ambiguity and reflecting diversity -- Understanding approaches for dealing with ambiguity in labeling -- Measuring labeling consistency -- Summary -- References -- Part 3: Technical Approaches to Better Data -- Chapter 5: Techniques for Data Cleaning -- The six key dimensions of data quality -- Installing the required packages -- Introducing the dataset -- Ensuring the data is consistent -- Checking that the data is unique -- Ensuring that the data is complete and not missing -- Ensuring that the data is valid -- Ensuring that the data is accurate -- Ensuring that the data is fresh -- Summary -- Chapter 6: Techniques for Programmatic Labeling in Machine Learning -- Technical requirements -- Python version -- Library requirements -- Pattern matching -- Database lookup -- Boolean flags -- Weak supervision -- Semi-weak supervision -- Slicing functions -- Active learning -- Uncertainty sampling -- Query by Committee (QBC) -- Diversity sampling -- Transfer learning -- Feature extraction -- Fine-tuning pre-trained models -- Semi-supervised learning -- Summary -- Chapter 7: Using Synthetic Data in Data-Centric Machine Learning -- Understanding synthetic data -- The use case for synthetic data -- Synthetic data for computer vision and image and video processing -- Generating synthetic data using generative adversarial networks (GANs) -- Exploring image augmentation with a practical example -- Natural language processing -- Privacy preservation -- Generating synthetic data for privacy preservation -- Using synthetic data to improve model performance…”

Tabla de Contenidos: “…Naturaleza jurídica; 4.1.3. Fundamento; 4.1.4. Fines; 4.1.5. Sujetos a los que se aplica la medida de libertad vigilada; 4.1.5.1. …”

Tabla de Contenidos: “…Bidirectional Encoder Representations from Transformers -- Generative Pre-trained Transformer -- Summary -- Chapter 8: Exploring Large Language Models in Depth -- Technical requirements -- Introducing LLMs -- LLM architecture -- LLM attention variants -- Prefix decoder -- Transformer nuts and bolts -- Models -- Training LLMs -- Training datasets -- Pre-training properties -- FT with RLHF -- Emergent abilities of LLMs -- Introducing Hugging Face Transformers -- Summary -- Chapter 9: Advanced Applications of Large Language Models -- Technical requirements -- Classifying images with Vision Transformer -- Using ViT with Hugging Face Transformers -- Understanding the DEtection TRansformer -- Using DetR with Hugging Face Transformers -- Generating images with stable diffusion -- Autoencoder -- Conditioning transformer -- Diffusion model -- Using stable diffusion with Hugging Face Transformers -- Exploring fine-tuning transformers -- Harnessing the power of LLMs with LangChain -- Using LangChain in practice -- Summary -- Part 4: Developing and Deploying Deep Neural Networks -- Chapter 10: Machine Learning Operations (MLOps) -- Technical requirements -- Understanding model development -- Choosing an NN framework -- PyTorch versus TensorFlow versus JAX -- Open Neural Network Exchange -- Introducing TensorBoard -- Developing NN models for edge devices with TF Lite -- Mixed-precision training with PyTorch -- Exploring model deployment -- Deploying NN models with Flask -- Building ML web apps with Gradio -- Summary -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…DISTRIBUCIÓN ESPACIAL DE LA POBLACIÓN -- CONTENIDO -- OBJETIVOS -- BIBLIOGRAFÍA -- MATERIALES DE CLASES -- INDICACIONES PARA EL ESTUDIO DEL TEMA -- TAREAS PARA EL ESTUDIO INDEPENDIENTE -- INDICACIONES DEL SEMINARIO Y LA CLASE PRÁCTICA -- ORIENTACIÓN DEL SEMINARIO 4: -- OBJETIVOS -- MATERIALES A CONOCER EN EL SEMINARIO -- CATEGORÍAS DE CIUDADES POR SU NÚMERO DE HABITANTES -- ASENTAMIENTOS URBANOS PARA FINES CENSALES EN CUBA -- ASENTAMIENTOS RURALES PARA FINES CENSALES EN CUBA -- ASENTAMIENTO HUMANO RURAL -- POBLACIÓN URBANA Y POBLACIÓN RURAL -- POBLACIÓN URBANA -- POBLACIÓN RURAL -- TABLA 3. …”

Tabla de Contenidos: “…-- How Focus Works -- Contrast Detection -- Phase Detection -- AF Pixel Layout -- Dual Pixel CMOS AF -- Dual Pixel RAW Focus Adjustments -- Circles of Confusion and Focus -- Working with the AF System -- AF Operation -- AF Area -- Spot AF -- 1-Point AF -- Expand AF Area -- Expand AF Area: Around -- Flexible Zone AF 1 -- Flexible Zone AF 2 (Vertical)/Flexible Zone AF 3 (Horizontal) -- Whole Area AF -- Orientation Linked AF Point -- Subject Tracking -- Working with Tracking -- Manual Focus -- Magnified View -- Focus Peaking -- Focus Guide -- Fine-Tuning Your Autofocus -- Back-Button Focus -- Activating Back-Button Focus -- Chapter 6. …”

Tabla de Contenidos: “…Cover -- Brain Computations and Connectivity -- Copyright -- Preface -- Contents -- 1: Introduction -- 1.1 What and how the brain computes: introduction -- 1.2 What and how the brain computes: plan of the book -- 1.3 Neurons in the brain, and their representation in neuronal networks -- 1.4 A formalism for approaching the operation of single neurons in a network -- 1.5 Synaptic modification -- 1.6 Long-term potentiation and long-term depression as models of synaptic modification -- 1.6.1 Long-Term Potentiation -- 1.6.2 Long-Term Depression -- 1.6.3 Spike Timing-Dependent Plasticity -- 1.7 Information encoding by neurons, and distributed representations -- 1.7.1 Definitions -- 1.7.2 Advantages of sparse distributed encoding -- 1.8 Neuronal network approaches versus connectionism -- 1.9 Introduction to three neuronal network architectures -- 1.10 Systems-level analysis of brain function -- 1.11 Brodmann areas -- 1.12 Human Connectome Project Multi-Modal Parcellation atlas of the human cortex -- 1.13 Connectivity of the human brain -- 1.13.1 Connections analyzed with diffusion tractography -- 1.13.2 Functional connectivity -- 1.13.3 Effective connectivity -- 1.14 Introduction to the fine structure of the cerebral neocortex -- 1.14.1 The fine structure and connectivity of the neocortex -- 1.14.2 Excitatory cells and connections -- 1.14.3 Inhibitory cells and connections -- 1.14.4 Quantitative aspects of cortical architecture -- 1.14.5 Functional pathways through the cortical layers -- 1.14.6 The scale of lateral excitatory and inhibitory effects, and the concept of modules -- 2: The ventral visual system -- 2.1 Introduction and overview -- 2.1.1 Introduction -- 2.1.2 Overview of what is computed in the ventral visual system -- 2.1.3 Overview of how computations are performed in the ventral visual system…”

Tabla de Contenidos: “…Yacyshyn -- 46.Transplantation Medicine: A Rehabilitation Perspective / Michael Munin -- 47.Rehabilitation of the Individual with HIV / Steven M. Fine -- pt. IV Secondary Conditions and Complications -- 48.Physical Inactivity: Physiological and Functional Impairments and Their Treatment / Kathleen R. …”
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Tabla de Contenidos: “…Contacto español-inglés -- 2.7.6. Contacto español-finés -- 3. CASTELLÓN, PROVINCIA OBJETO DE ESTUDIO -- 3.1. …”
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Tabla de Contenidos: “…FabLab -- 55. Medios y fines en la red…”

Tabla de Contenidos: “…Exploitation -- Multi-arm Bandit -- Regret: Measure of Quality of Exploration -- Epsilon Greedy Exploration -- Upper Confidence Bound Exploration -- Thompson Sampling Exploration -- Comparing Different Exploration Strategies -- Planning at Decision Time and Monte Carlo Tree Search -- AlphaGo Walk-Through -- Summary -- Chapter 10: Further Exploration and Next Steps -- Model-Based RL: Additional Approaches -- World Models -- Imagination-Augmented Agents (I2A) -- Model-Based RL with Model-Free Fine-Tuning (MBMF) -- Model-Based Value Expansion (MBVE) -- Imitation Learning and Inverse Reinforcement Learning -- Derivative-Free Methods -- Transfer Learning and Multitask Learning -- Meta-Learning -- Popular RL Libraries -- How to Continue Studying -- Summary -- Index…”

Tabla de Contenidos: “…-- The Key Difference Is a 15-15 Agenda versus a 10-10-10 Agenda -- Follow the Basic Principles -- Focus on the Team Member -- Scheduled, Weekly -- 30 Minutes Long -- Your Cubicle or a Phone PMO3 Is Fine -- PMO3s Only Occur during the Life of the Project -- You May Get More Pushback -- 6: How to Start Doing One On Ones -- Choose Times from Your Calendar -- Send Out a One-On-One E-mail Invitation -- Allow for Possible Changes in the Near Future -- Review Intent, Ground Rules, and O3 Agenda in Your Staff Meeting -- Answer Questions -- Conduct One On Ones Only for 12 Weeks -- Don't Rush to Get to Feedback! …”

Tabla de Contenidos: “…Nuevas inscripciones de bienes muebles en el siglo XV / Joaquín Aparici Martí -- Ley y tradición musulmana en las aljamas mudéjares de Castilla a fines de la Edad Media: la pervivencia del matrimonio islámico / Pablo Ortego Rico -- De Abindarráez a los dieciséis moros de Gabriel Lasso. …”

Tabla de Contenidos: “…Matching, substring captures, and MatchData -- 11.5. Fine-tuning regular expressions with quantifiers, anchors, and modifiers -- 11.6. …”

Tabla de Contenidos: “…. -- Leveraging pretrained VGG models for new classes -- How to do it... -- Fine-tuning with Xception -- How to do it... -- Index…”