DeepLearningwithKeras_Beginner’sGuideToD.epub - (EPUB全文下载)

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Deep Learning with Keras
 
 
Beginner’s Guide To
Deep Learning With Keras
 
 
 
 
 
By Frank Millstein
Please Check Out My Other Books Before You Continue
Below you will find just a few of my other books that are popular on Amazon and Kindle. Simply click on the link or image below to check them out.
Link To My Author Page
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.
This document is geared towards providing exact and reliable information in regards to the topic and issue covered. The publication is sold with the idea that the publisher is not required to render accounting, officially permitted, or otherwise, qualified services. If advice is necessary, legal or professional, a practiced individual in the profession should be ordered.
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.
In no way is it legal to reproduce, duplicate, or transmit any part of this document by either electronic means or in printed format. Recording of this publication is strictly prohibited, and any storage of this document is not allowed unless with written permission from the publisher. All rights reserved.
The information provided herein is stated to be truthful and consistent, in that any liability, in terms of inattention or otherwise, by any usage or abuse of any policies, processes, or directions contai ............

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