Hands-On Deep Learning Algorithms with Python
This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
Offered by
Difficulty Level
Intermediate
Completion Time
17h4m
Language
English
About Book
Who Is This Book For?
If you are a machine learning engineer, data scientist, AI developer, or anyone looking to delve into neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming will also find the book very helpful.
Hands-On Deep Learning Algorithms with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h4m total length
Introduction to Deep Learning
Getting to know Tensorflow
Gradient Descent and its variants
Generating song lyrics using RNN
Improvements to the RNN
Demystifying Convolutional networks
Representation learning using word embeddings
Generative adversarial networks
More About GANs
Autoencoders
Few shot learnings
Related Resources
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