Deep Learning

Learn Deep Learning from the best Deep Learning tutorials, including the most popular Deep Learning online courses, videos, books, podcasts, and blogs.

Math and Architectures of Deep Learning

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the �black box� to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.

Grokking Deep Learning for Computer Vision

Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision!

Grokking Deep Learning

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Exploring Deep Learning for Language

Exploring Deep Learning for Language is a collection of chapters from five Manning books, handpicked by machine learning expert Jeff Smith. This free eBook begins with an overview of natural language processing before moving on to techniques for working with language data.

Deep Learning with R

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Deep Learning with PyTorch

PyTorch puts superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you'and your deep learning skills'become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun.

Deep Learning with Python | Manning

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Fran�ois Chollet, this book builds your understanding through intuitive explanations and practical examples.

Deep Learning with JavaScript

Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.

Deep Learning for Search

Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on!

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively.

Deep Learning and the Game of Go

Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.

GUVI | Deep Learning

This training willl help you learn various aspects of AI like Deep Learning with Pytorch, Machine Learning, Artificial Neural Networks, Expert systems, Object Detection and Vernacular Language Signboard Translation as a Capstone Project.

Introduction to Deep Learning | Experfy

Get introduced to Deep Learning and learn history of Deep Learning.

Introduction to Deep Learning

Learn the fundamentals of deep learning and neural network models.

Deep Learning with R | Experfy

Learn how to develop and apply your own deep neural networks to solve problems like Speech recognition, drug discovery, breast cancer detection, and more.

The Deep Learning textbook

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.

Deep Learning Specialization (Coursera)

Become a Machine Learning expert. Master the fundamentals of deep learning and break into AI.

Neural Networks and Deep Learning (Coursera)

Neural Networks and Deep Learning - In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.

Structuring Machine Learning Projects (Coursera)

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.

Machine Learning from Stanford University (Coursera)

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).