“…As a dossier of actors, alignments and agendas, the book contributes to an alternative historiography of post-war urbanism and to recent reflections on the impact of transnational practice."--P. [4] of cover…”

Tabla de Contenidos: “…8.8 Summary -- Chapter 9: Overfitting -- 9.1 Model Capacity -- 9.2 Overfitting and Underfitting -- 9.2.1 Underfitting -- 9.2.2 Overfitting -- 9.3 Dataset Division -- 9.3.1 Validation Set and Hyperparameters -- 9.3.2 Early Stopping -- 9.4 Model Design -- 9.5 Regularization -- 9.5.1 L0 Regularization -- 9.5.2 L1 Regularization -- 9.5.3 L2 Regularization -- 9.5.4 Regularization Effect -- 9.6 Dropout -- 9.7 Data Augmentation -- 9.7.1 Rotation -- 9.7.2 Flip -- 9.7.3 Cropping -- 9.7.4 Generate Data -- 9.7.5 Other Methods -- 9.8 Hands-On Overfitting -- 9.8.1 Build the Dataset -- 9.8.2 Influence of the Number of Network Layers -- 9.8.3 Impact of Dropout -- 9.8.4 Impact of Regularization -- 9.9 References -- Chapter 10: Convolutional Neural Networks -- 10.1 Problems with Fully Connected N -- 10.1.1 Local Correlation -- 10.1.2 Weight Sharing -- 10.1.3 Convolution Operation -- 10.2 Convolutional Neural Network -- 10.2.1 Single-Channel Input and Single Convolution Kernel -- 10.2.2 Multi-channel Input and Single Convolution Kernel -- 10.2.3 Multi-channel Input and Multi-convolution Kernel -- 10.2.4 Stride Size -- 10.2.5 Padding -- 10.3 Convolutional Layer Implementation -- 10.3.1 Custom Weights -- 10.3.2 Convolutional Layer Classes -- 10.4 Hands-On LeNet-5 -- 10.5 Representation Learning -- 10.6 Gradient Propagation -- 10.7 Pooling Layer -- 10.8 BatchNorm Layer -- 10.8.1 Forward Propagation -- 10.8.2 Backward Propagation -- 10.8.3 Implementation of BatchNormalization layer -- 10.9 Classical Convolutional Network -- 10.9.1 AlexNet -- 10.9.2 VGG Series -- 10.9.3 GoogLeNet -- 10.10 Hands-On CIFAR10 and VGG13 -- 10.11 Convolutional Layer Variants -- 10.11.1 Dilated/Atrous Convolution -- 10.11.2 Transposed Convolution -- o + 2p − k = n * s -- o + 2p − k ≠n * s -- Matrix Transposition -- Transposed Convolution Implementation -- 10.11.3 Separate Convolution…”

Tabla de Contenidos: “…Summary -- Chapter 6: Managing People, Product, and Process (P3) implementation -- 6.1. P3 Management Strategy -- 6.1.1. …”

“…Chapman, Sandra Clark, Denis Donoghue, Nicholas Grene, Joseph M. Hassett, and K.P.S. Jochum."--Publisher's website…”

“…The test report also includes a number of other important information elements related to the conduct of the test, in particular: the concentration of dissolved oxygen, pH, total hardness, temperature et conductivity of solutions, measured concentrations of the chemical tested, and whether the validity criteria of the test were met…”

“…This monograph outlines ways in which the United States can contribute to the SA Army's Vision 2020 program to help optimize South Africa's potential contribution to the emergence of a peaceful and stable Africa."--P. v.…”

“…She points out the possible influences of scientific personalities (P. G. Bogatyriov, B. Schier et al.), as well as the non-scientific circumstances that influenced Melicherčík's understanding of the subject, methods and instrumentalization of ethnography and folklore studies…”

Tabla de Contenidos: “…Proyecto de inversión con solo P y F -- Figura 19. Diagrama de flujo de fondos para la empresa La Inversoray Ltda. -- Figura 20. …”

Tabla de Contenidos: “….) -- 3 INTERCONEXIÓN DE REDES -- 3.1 CONCEPTOS BÁSICOS SOBRE REDES PÚBLICAS -- 3.1.1 LÍNEAS DEDICADAS -- 3.1.3 DIAL UP -- 3.1.4 COMUNICACIONES VÍA SATÉLITE -- 3.2 REDES DEFINIDAS POR TOPOLOGÍA -- 3.2.1 TOPOLOGÍA EN BUS -- 3.2.2 TOPOLOGÍA EN ANILLO -- 3.2.3 TOPOLOGÍA EN ESTRELLA -- 3.2.4 TOPOLOGÍA PUNTO A PUNTO -- 3.2.5 TOPOLOGÍA PUNTO MULTIPUNTO (HUB AND SPOKE TOPOLOGY) -- 3.2.6 TOPOLOGÍA EN MALLA COMPLETA (FULL-MESH TOPOLOGY) -- 3.2.7 TOPOLOGÍA EN MALLA PARCIAL (PARTIAL-MESHED TOPOLOGY) -- 3.3 REDES SEGÚN SU EXTENSIÓN GEOGRÁFICA -- 3.3.1 REDES DE ÁREA LOCAL (LAN) -- 3.3.2 REDES DE ÁREA AMPLIA (WAN) -- 3.3.3 REDES CAMPUS (CAN) -- 3.3.4 REDES DE ÁREA METROPOLITANA (MAN) -- 3.3.5 REDES DE ÁREA PERSONAL (PAN) -- 3.4 REDES SEGÚN LA UBICACIÓN DE LOS RECURSOS -- 3.4.1 REDES CLIENTE-SERVIDOR -- 3.4.2 REDES PEER-TO-PEER (P2P) -- 4 MODELOS DE REFERENCIA -- 4.1 EL MODELO OSI -- 4.1.1 CAPA FÍSICA (CAPA 1) -- 4.1.2 CAPA DE ENLACE DE DATOS (CAPA 2) -- 4.1.3 CAPA DE RED (CAPA 3) -- 4.1.4 CAPA DE TRANSPORTE (CAPA 4) -- 4.1.5 CAPA DE SESIÓN (CAPA 5) -- 4.1.6 CAPA DE PRESENTACIÓN (CAPA 6) -- 4.1.7 CAPA DE APLICACIÓN (CAPA 7) -- 4.2 INTRODUCCIÓN AL ENCAPSULAMIENTO -- 4.3 EL MODELO TCP/IP -- 4.3.1 LA CAPA INTERFAZ DE RED -- 4.3.2 LA CAPA INTERNET…”

Tabla de Contenidos: “…The Catholic Church and historical criticism of the Old Testament / Gerald P. Fogarty -- 11. Jewish Biblical scholarship between tradition and innovation / Edward Breuer ; Chanan Gafni -- 12. …”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- About the Authors -- Chapter 1: Introduction: Composition and Function of Cell -- 1.1 Introduction to and Importance of Biochemistry -- 1.2 Structure, Composition and Function of Cell -- 1.2.1 Cell Wall -- 1.2.2 Bacterial Cell Wall -- 1.2.3 The Bacterial Cytoplasmic Membrane -- 1.2.4 Fimbrae and Pili -- 1.2.5 Capsules and Slime Layers -- 1.2.6 Flagellum (Singular) -- 1.2.7 Cell Membrane -- 1.2.8 Cytoplasm -- 1.3 Cell Organelles -- 1.3.1 Chloroplasts -- 1.3.2 Vacuole -- 1.3.3 Cytoskeleton -- 1.3.4 Endoplasmic Reticulum (ER) -- 1.3.5 Golgi Apparatus -- 1.3.6 Ribosomes -- 1.3.7 Mitochondrion -- 1.3.8 Lysosomes -- 1.3.9 Peroxisome -- 1.3.10 Centrioles -- 1.3.11 Nucleus -- 1.4 Cellular Organization: Prokaryotic and Eukaryotic Cell -- 1.4.1 Prokaryotic Cells -- 1.4.2 Eukaryotic Cells -- 1.4.3 Similarities Between Prokaryotic Cell and a Eukaryotic Cell -- 1.5 Microscopy -- 1.5.1 Light Microscopy -- 1.5.2 Bright Field Microscopy -- 1.5.3 Dark Field Microscopy -- 1.5.4 Phase Contrast Microscopy -- 1.5.5 Differential Interference Contrast Microscopy -- 1.5.6 Fluorescence Microscopy -- 1.5.7 Electron Microscopy -- Exercises -- Multiple Choice Questions -- Chapter 2: Structure and Functions of Cell Membrane -- 2.1 Fluid-Mosaic Model -- 2.2 Cytoskeleton and Cell-Cell Interaction -- 2.3 Transport Mechanism Across Plasma Membrane -- 2.3.1 Diffusion -- 2.3.2 Osmosis -- 2.3.3 Facilitated Diffusion -- 2.3.4 Membrane Channels -- 2.3.5 M embrane Transporters -- 2.3.6 Active Transport: Na+-K+ Pump -- 2.4 Acid-Base Balance: Blood pH, Buffering and Diagnosis -- 2.4.1 Symptoms and Diagnosis -- 2.5 Chemistry of Water, pH and Buffers -- 2.5.1 Buffers -- 2.5.2 Buffering Action -- 2.6 Water Electrolyte Balance -- Exercises -- Multiple Choice Questions -- Chapter 3: Composition and Metabolism of Carbohydrates…”

Tabla de Contenidos: “…6.3 Strong assumptions made by SOTA attacks -- 6.3.1 The state-of-the-art attacks -- 6.3.2 Strong assumptions -- Assumption 1: Knowledge of BatchNorm statistics -- Assumption 2: Knowing or being able to infer private labels -- 6.3.3 Re-evaluation under relaxed assumptions -- Relaxation 1: Not knowing BatchNorm statistics -- Relaxation 2: Not knowing private labels -- 6.4 Defenses against the gradient inversion attack -- 6.4.1 Encrypt gradients -- 6.4.2 Perturbing gradients -- 6.4.3 Weak encryption of inputs (encoding inputs) -- 6.5 Evaluation -- 6.5.1 Experimental setup -- 6.5.2 Performance of defense methods -- 6.5.3 Performance of combined defenses -- 6.5.4 Time estimate for end-to-end recovery of a single image -- 6.6 Conclusion -- 6.7 Future directions -- 6.7.1 Gradient inversion attacks for text data -- 6.7.2 Gradient inversion attacks in variants of federated learning -- 6.7.3 Defenses with provable guarantee -- References -- 2 Emerging topics -- 7 Personalized federated learning: theory and open problems -- 7.1 Introduction -- 7.2 Problem formulation of pFL -- 7.3 Review of personalized FL approaches -- 7.3.1 Mixing models -- 7.3.2 Model-based approaches: meta-learning -- 7.3.3 Multi-task learning -- 7.3.4 Weight sharing -- 7.3.5 Clients clustering -- 7.4 Personalized FL algorithms -- 7.4.1 pFedMe -- 7.4.2 FedU -- 7.5 Experiments -- 7.5.1 Experimental settings -- 7.5.2 Comparison -- 7.6 Open problems -- 7.6.1 Transfer learning -- 7.6.2 Knowledge distillation -- 7.7 Conclusion -- References -- 8 Fairness in federated learning -- 8.1 Introduction -- 8.2 Notions of fairness -- 8.2.1 Equitable fairness -- 8.2.2 Collaborative fairness -- 8.2.3 Algorithmic fairness -- 8.3 Algorithms to achieve fairness in FL -- 8.3.1 Algorithms to achieve equitable fairness -- 8.3.2 Algorithms to achieve collaborative fairness…”

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