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Deep Learning

Topic List9 books curated14 recommendations total

A curated collection of books related to Deep Learning, ranked by recommendation signals.

Curated list content
1
Deep Learning
10 recommendations
Recommendation Context
Available recommendation signals cluster around ificial, Intelligence, NonFiction, Artificial, Programming lists, suggesting this book may fit readers looking for big-picture nonfiction and accessible learning. Treat this as discovery context, not a quality guarantee.
2
HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow
HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow

Concepts, Tools, and Techniques to Build Intelligent Systems

2 recommendations
Description

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this Technology, can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two pro...

3
HandsOn Deep Learning Algorithms with Python
HandsOn Deep Learning Algorithms with Python

Master deep learning algorithms with extensive math by implementing them using TensorFlow

1 recommendation
Description

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key Features Get uptospeed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithms Implement popular deep learning algorithms such as CNNs, RNN...

4
No coverDeep Learning for Coders with fastai and PyTorch
1 recommendation
Description

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this handson guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How With fastai, the first library to provide a consistent inte...

5
Deep Learning
Deep Learning

A Practitioner's Approach

Description

Looking for one central source where you can learn key findings on machine learning Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases.Authors Adam Gibson and Josh Patterson present the latest relevan...

6
Grokking Deep Learning
Description

Artificial Intelligence, is one of the most exciting technologies of the century, and Deep Learning is in many ways the ?brain? behind some of the world?s smartest Artificial Intelligence, systems out there. Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, de...

7
Neural Networks and Deep Learning
Description

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural Architecture,s in different applicatio...

8
No coverDeep Learning from Scratch
Deep Learning from Scratch

Building with Python from First Principles

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This list aggregates books that appear in public recommendation sources, reader-interest signals, and category data. Books are ranked by their position from the source list; recommendation counts and ratings are shown where available. Open any book to see source-backed recommendation proof, editorial context, and Amazon options — the per-book detail page is where the trust signals live.