Hands-On Neural Networks
This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.
Offered by
Difficulty Level
Intermediate
Completion Time
9h20m
Language
English
About Book
Who Is This Book For?
If you are interested in artificial intelligence and deep learning and want to further your skills, then this intermediate-level book is for you. Some knowledge of statistics will help you get the most out of this book.
Hands-On Neural Networks
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h20m total length
Getting started with Supervised Learning
Neural Network fundamentals
Convolutional Neural Networks for image processing
Exploiting text embedding
Working with RNN
Reusing Neural Networks with Transfer Learning
Working with Generative Algorithms
Implementing Autoencoders
Working with Deep Belief Networks
Monte Carlo and Reinforcement Learning
What’s Next?
Related Resources
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