Can I read Deep Learning with Applications Using Python on EtoBox?

Deep Learning with Applications Using Python by Navin Kumar Manaswi is a nonfiction available to read on EtoBox.

What is Deep Learning with Applications Using Python about?

Table of Contents 4 Foreword 10 About the Author 12 About the Technical Reviewer 13 Chapter 1: Basics of TensorFlow 14 Tensors 15 Computational Graph and Session 16 Constants, Placeholders, and Variables 19 Placeholders 22 Creating Tensors 25 Fixed Tensors 26 Sequence Tensors 27 Random Tensors 28 Working on Matrices 29 Activation Functions 30 Tangent Hyperbolic and Sigmoid 31 ReLU and ELU 32 ReLU6 33 Loss Functions 35 Loss Function Examples 36 Common Loss Functions 36 Optimizers 38 Loss Function Examples 39 Common Optimizers 40 Metrics 41 Metrics Examples 41 Common Metrics 42 Chapter 2: Understanding and Working with Keras 44 Major Steps to Deep Learning Models 45 Load Data 46 Preprocess the Data 46 Define the Model 47 Compile the Model 49 Fit the Model 50 Evaluate Model 51 Prediction 51 Save and Reload the Model 52 Optional: Summarize the Model 52 Additional Steps to Improve Keras Models 53 Keras with TensorFlow 55 Chapter 3: Multilayer Perceptron 57 Artificial Neural Network 57 Single-Layer Perceptron 59 Multilayer Perceptron 59 Logistic Regression Model 61 Chapter 4: Regression to MLP in TensorFlow 69 TensorFlow Steps to Build Models 69 Linear Regression in TensorFlow 70 Logist

Who reads Deep Learning with Applications Using Python?

Author

Navin Kumar Manaswi

Publisher

Apress

Published

2018

Language

EN

Category

nonfiction