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Index
Introduction
Chapter 1: A General Overview of Deep Learning
Artificial Intelligence, Machine Learning, and Deep Learning
Modeling of Machine Learning
Foreseeable Benefits of Deep Learning
Chapter 2: The Arithmetic Foundations of a Neural Network
A Peek into a Neural Network
Data Attributes of Neural Networks
Gearing the Neural Network through Tensor Operations
Chapter 3: Starting Our Tasks with Neural Networks
Inspection of a Neural Network
What is Keras?
The Pre-requisites for a Deep Learning Workstation
Deep Learning Binary Classification Example
Deep Learning Multiclass Classification Example
Chapter 4: Using Deep Learning for Computer Vision
What is Convnet? Working with Convolution Operations
Training a Convnet
Working with a Pretrained Convnet
Chapter 5: Mastering Advanced Practices in Deep Learning
Keras Functional API
Inspection of Deep Learning Models Using Keras Callbacks and Tensorboards
Tensorboard: The TensorFlow Visualization Network
Working with Advanced Methods and Getting Optimized Results
Conclusion
Gradient-Based Optimization in Neural Networks
Deep Learning Regression Example
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