Tabla de Contenidos: “…List of Illustrations -- Abbreviations -- Editorial Board -- Notes on the Contributors Editors' Introduction -- Acknowledgements and Editorial Information -- Yeat's MASK -- The Mask before The Mask / Warwick Gould -- The King's Threshold, Calvary, The Death of Cuchulain: Yeats's Passion Plays / Alexandra Poulain -- To 'make others see my dream as I had seen it': Yeats's Aesthetics in Cathleen ni Houlihan / Aisling Carlin -- 'Oxford Poets': Yeats, T.S. …”

Tabla de Contenidos: “…Inventing Representational Forms -- Moral Conflicts in Quantifying the Self -- Quantifying Performance: Alternative Measures, Rational Planning and the Deficiency of Corporeal Sensations -- Conclusions -- References -- 5 Quantifying Inequality: From Contentious Politics to the Dream of an Indifferent Power -- Words: The Semantics of Poverty and the Syntax of the Threshold -- Shifting Words -- Moralization -- The Threshold -- Visibility and Obfuscation -- Spatial Choreographies: From Inequality to Distance -- Numbers: Measuring Inequality -- Conclusions: The Dream of an Indifferent Power…”

Tabla de Contenidos: “…Intro -- The Courageous Leader -- Contents -- Foreword -- Introduction -- Courage is the Way -- The Three Components of Courage: Diversity, Pain, and Choice -- The Intention of the Author and This Book -- Notes -- Chapter 1 The Business Case for Courage -- The Fear of Discomfort and Pain -- Pain Thresholds -- Common Reactions to Tough Times -- We Feel (We Experience Fear, Discomfort, or Pain) -- We Think (We Process It Intellectually) -- We Feel Again (We Choose an Emotion) -- We Respond (We Choose Reaction or We Choose Action) -- Uncommon Choices -- The Big Temptation -- Honoring the Courageous Leader in You -- Assessing the Risks -- Notes -- Chapter 2 The Courage to Get Unstuck -- When Life Kicks You out of the Workplace -- Moving on or Going Deeper -- Going Deeper in Action -- Stuck in a Paradigm -- Pain During the Transition -- Making Sense of Our Pain -- Notes -- Chapter 3 The Courage to Take a Stand -- So, What Exactly Are Values? …”

“…This voluminous book of 47 chapters offers a good cross section of what is burgeoing in the field of client-centered and experiential psychotherapy on the threshold of the nineties. it does not represent a single vision but gives the floor to the various suborientations: classics Rogerians; client-centered therapists who favor some form of integration or even eclecticism; experiential psychotherapists for whom Gendlin's focusing approach is a precious way of working; client-centered therapists who look at the therapy process in terms of information-processing; existentially oriented therapists ... …”

“…Petersburg dreamed of a fundamental transformation of life in Russia. …”

Tabla de Contenidos: “…Other popular image testing datasets -- The CIFAR dataset -- The Fashion-MNIST dataset -- The ImageNet dataset and competition -- The bigger deep learning models -- The AlexNet model -- The VGG-16 model -- The Google Inception-V3 model -- The Microsoft ResNet-50 model -- The SqueezeNet model -- Spatial transformer networks -- The DenseNet model -- Training a model for cats versus dogs -- Preparing the data -- Benchmarking with simple CNN -- Augmenting the dataset -- Augmentation techniques -- Transfer learning or fine-tuning of a model -- Training on bottleneck features -- Fine-tuning several layers in deep learning -- Developing real-world applications -- Choosing the right model -- Tackling the underfitting and overfitting scenarios -- Gender and age detection from face -- Fine-tuning apparel models -- Brand safety -- Summary -- Chapter 3: Image Retrieval -- Understanding visual features -- Visualizing activation of deep learning models -- Embedding visualization -- Guided backpropagation -- The DeepDream -- Adversarial examples -- Model inference -- Exporting a model -- Serving the trained model -- Content-based image retrieval -- Building the retrieval pipeline -- Extracting bottleneck features for an image -- Computing similarity between query image and target database -- Efficient retrieval -- Matching faster using approximate nearest neighbour -- Advantages of ANNOY -- Autoencoders of raw images -- Denoising using autoencoders -- Summary -- Chapter 4: Object Detection -- Detecting objects in an image -- Exploring the datasets -- ImageNet dataset -- PASCAL VOC challenge -- COCO object detection challenge -- Evaluating datasets using metrics -- Intersection over Union -- The mean average precision -- Localizing algorithms -- Localizing objects using sliding windows -- The scale-space concept…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Python Machine Learning -- Machine learning and Python - a dream team -- What the book will teach you - and what it will not -- How to best read this book -- What to do when you are stuck -- Getting started -- Introduction to NumPy, SciPy, Matplotlib, and TensorFlow -- Installing Python -- Chewing data efficiently with NumPy and intelligently with SciPy -- Learning NumPy -- Indexing -- Handling nonexistent values -- Comparing the runtime -- Learning SciPy -- Fundamentals of machine learning -- Asking a question -- Getting answers -- Our first (tiny) application of machine learning -- Reading in the data -- Preprocessing and cleaning the data -- Choosing the right model and learning algorithm -- Before we build our first model -- Starting with a simple straight line -- Toward more complex models -- Stepping back to go forward - another look at our data -- Training and testing -- Answering our initial question -- Summary -- Chapter 2: Classifying with Real-World Examples -- The Iris dataset -- Visualization is a good first step -- Classifying with scikit-learn -- Building our first classification model -- Evaluation - holding out data and cross-validation -- How to measure and compare classifiers -- A more complex dataset and the nearest-neighbor classifier -- Learning about the seeds dataset -- Features and feature engineering -- Nearest neighbor classification -- Looking at the decision boundaries -- Which classifier to use -- Summary -- Chapter 3: Regression -- Predicting house prices with regression -- Multidimensional regression -- Cross-validation for regression -- Penalized or regularized regression -- L1 and L2 penalties -- Using Lasso or ElasticNet in scikit-learn -- Visualizing the Lasso path…”

“…Seremetakis weaves together topics as diverse as borders and bodies, history and death, the earth and the senses, language and affect, violence and public culture, the sociality of dreaming, and the spatialization of the traumatic, in a journey through antiphonic witnessing and memory. …”

Tabla de Contenidos: “…-- 4.1 Definition of Consciousness -- 4.2 Altered States of Consciousness -- 4.3-4.6 Sleep -- 4.3 The Biology of Sleep -- 4.4 Why We Sleep -- 4.5 The Stages of Sleep -- 4.6 Sleep Disorders -- APA Goal 2: Scientific Inquiry and Critical Thinking: Weight Gain and Sleep -- 4.7-4.8 Dreams -- 4.7 Why Do We Dream? -- 4.8 What Do People Dream About? …”