DeepLearningwithKeras_Beginner’sGuideToD.epub - (EPUB全文下载)
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书籍内容:
Deep Learning with Keras
Beginner’s Guide To
Deep Learning With Keras
By Frank Millstein
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WHAT IS IN THE BOOK?
INTRODUCTION
HOW DEEP LEARNING IS DIFFERENT FROM MACHINE LEARNING
DEEPER INTO DEEP LEARNING
CHAPTER 1: A FIRST LOOK AT NEURAL NETWORKS
CONVOLUTIONAL NEURAL NETWORK
RECURRENT NEURAL NETWORK
RNN SEQUENCE TO SEQUENCE MODEL
AUTOENCODERS
REINFORCEMENT DEEP LEARNING
GENERATIVE ADVERSARIAL NETWORK
CHAPTER 2: GETTING STARTED WITH KERAS
BUILDING DEEP LEARNING MODELS WITH KERAS
CHAPTER 3: MULTI-LAYER PERCEPTRON NETWORK MODELS
MODEL LAYERS
MODEL COMPILATION
MODEL TRAINING
MODEL PREDICTION
CHAPTER 4: ACTIVATION FUNCTIONS FOR NEURAL NETWORKS
SIGMOID ACTIVATION FUNCTION
TANH ACTIVATION FUNCTION
RELU ACTIVATION FUNCTION
CHAPTER 5: MNIST HANDWRITTEN RECOGNITION
CHAPTER 6: NEURAL NETWORK MODELS FOR MULTI-CLASS CLASSIFICATION PROBLEMS
ONE-HOT ENCODING
DEFINING NEURAL NETWORK MODELS WITH SCIKIT-LEARN
EVALUATING MODELS WITH K-FOLD CROSS VALIDATION
CHAPTER 7
: RECURRENT NEURAL NETWORKS
SEQUENCE CLASSIFICATION WITH LSTM RECURRENT NEURAL NETWORKS
WORD EMBEDDING
APPLYING DROPOUT
NATURAL LANGUAGE PROCESSING WITH RECURRENT NEURAL NETWORKS
LAST WORDS
Copyright © 2018 by Frank Millstein- All rights reserved.
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From a Declaration of Principles which was accepted and approved equally by a Committee of the American Bar Association and a Committee of Publishers and Associations.
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