Deep Learning

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

Deep Learning Full Course | Simplilearn

This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what is TensorFlow,TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications and look at the essential interview questions.

Deep Learning Tutorial For Beginners

In this deep learning tutorial for beginners video you will learn what is deep learning, what is neural network and topology of neural network, how to do back propagation. You will also be working on various datasets to have a practical knowledge on deep learning.

Deep Learning With Python

This video on Deep Learning with Python will help you understand what is deep learning, applications of deep learning, what is a neural network, biological versus artificial neural networks, introduction to TensorFlow, activation function, cost function, how neural networks work, and what gradient descent is. Deep learning is a technology that is used to achieve machine learning through neural networks. We will also look into how neural networks can help achieve the capability of a machine to mimic human behavior. We'll also implement a neural network manually.

MIT Introduction to Deep Learning | 6.S191

Course lectures for MIT Introduction to Deep Learning.

Deep Learning basics with Python, TensorFlow and Keras

An updated deep learning introduction using Python, TensorFlow, and Keras.

Natural Language Processing with Deep Learning - Stanford

Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program

Natural Language Processing with Deep Learning (Youtube)

This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation.

Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets

Deep Learning: GANs and Variational Auto-encoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

Deep Learning A-Z: Hands-On Artificial Neural Networks

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

Deep Learning: Advanced Computer Vision

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

Deep Learning Tutorial

This is the introductory lesson of the Deep Learning tutorial, which is part of the Deep Learning Certification Course (with TensorFlow). In this lesson, we will be introduced to Deep Learning, its purpose, and the learning outcomes ofthe tutorial.

Deep Learning with TensorFlow 2 and Keras - Second Edition

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.

Python Deep Learning for Beginners

This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps.

Hands-On Deep Learning Architectures with Python

Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures.

Grokking Deep Learning in Motion

Grokking Deep Learning in Motion is a new liveVideo course that takes you on a journey into the world of deep learning. Rather than just learn how to use a single library or framework, you'll actually discover how to build these algorithms completely from scratch!

Deep Learning with R in Motion

Deep Learning with R in Motion teaches you to apply deep learning to text and images using the powerful Keras library and its R language interface. This liveVideo course builds your understanding of deep learning up through intuitive explanations and fun, hands-on examples!

Deep Learning Crash Course

In this liveVideo course, machine learning expert Oliver Zeigermann teaches you the basics of deep learning. With Oliver Zeigermann's crystal-clear video instruction and the hands-on exercises in this video course, you'll get started in deep learning using open-source Python-friendly tools like scikit-learn and Keras, and TensorFlow 2.0 (soon to be officially released with exciting new updates!).

Probabilistic Deep Learning with Python

Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability teaches the increasingly popular probabilistic approach to deep learning that allows you to refine your results more quickly and accurately without much trial-and-error testing.