Book

Hands-On Neural Networks with TensorFlow 2.0

This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
11h56m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 11h56m total length

1. What is Machine Learning?
2. Neural Networks and Deep Learning
3. TensorFlow Graph Architecture
4. TensorFlow 2.0 Architecture
5. Efficient Data Input Pipelines and Estimator API
6. Image Classification using TensorFlow Hub
7. Introduction to Object Detection
8. Semantic Segmentation and Custom Dataset Builder
9. Generative Adversarial Networks
10. Bringing a Model to Production

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