Hands-On Convolutional Neural Networks with TensorFlow
Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!
Offered by
Difficulty Level
Intermediate
Completion Time
9h4m
Language
English
About Book
Who Is This Book For?
This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
Hands-On Convolutional Neural Networks with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h4m total length
Setup and introduction to TensorFlow
Deep Learning and Convolutional Neural Networks
Image Classification in Tensorflow
Object Detection and Segmentation
VGG, Inception Modules, Residuals, and MobileNets
Autoencoders, Variational Autoencoders, and Generative Adversarial Networks
Transfer Learning
Machine Learning Best Practices and Troubleshooting
Training at Scale
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!