Mosconi Francesco. Zero to Deep Learning with Keras and Tensorflow [Code Files]

Fullstack.io, 2020. — 769 p.Code files only!
Zero to Deep Learning is carefully designed to teach you step-by-step how to build, train, evaluate, improve and deploy deep learning models. Each chapter covers a topic and we provide full code examples as executable Jupyter notebooks.Within the first few minutes, we’ll know enough deep learning to start seeing the benefits of using it in our applications.Learn the best practices, such as: handling overfitting, code organization, and how to serve our model to our apps. We’ll walk through practical, common examples of how to implement complete applications powered by deep learning.Every single chapter and line of code includes an interactive Jupyter notebook. You’ll get access to a Jupyter notebook for all code samples.
You’ll learn core deep learning concepts – from the multiperceptron through deep neural networks including convolutional and recurrent neural networks.Getting Started
Data Manipulation
Machine Learning
Deep Learning
Deep Learning Internals
Convolutional Neural Networks
Time Series and Recurrent Neural Networks
Natural Language Processing and Text Data
Training with GPUs
Performance Improvement
Pre-trained Models for Images
Pre-trained Models for Text
Serving Deep Learning Models
Conclusion and Next Steps