20 Best Deep Learning MOOC / Non-credit Programs Online

Ultimate Neural Nets and Deep Learning Masterclass in Python

Offered by Cambridge University

USED BY SOFTWARE STUDENTS AT CAMBRIDGE UNIVERSITY - WORLD CLASS DEEP LEARNING COURSE - UPDATED CONTENT January 2018 Master practical deep learning and neural network concepts and fundamentals My course does exactly what...

Deep Learning Methods for Healthcare

Offered by University of Illinois Urbana-Champaign

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written an...

Deep Learning for AI Part 2

Offered by Northeastern University

This is Part 2 of a two-part graduate sequence in deep learning. Building on the foundations from Part 1, it focuses on advanced generative modeling. You will study autoregressive models, diffusion models, energy-based m...

Informed Clinical Decision Making using Deep Learning

Offered by University of Glasgow

This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models in...

TensorFlow 2 for Deep Learning

Offered by Imperial College London

This Specialization is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow. The first course of this Specialization wi...

Deep Learning for Healthcare

Offered by University of Illinois Urbana-Champaign

This specialization is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to o...

Deep Learning

Offered by RWTH Aachen University

"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Netw...

Python for Data Science and Deep Learning

Offered by Harvard University

This course focuses on using Python for data science and deep learning applications. It will guide you through essential programming concepts and techniques that are foundational for analyzing data and building deep lear...

Introduction to Neural Networks and Deep Learning with Python

Offered by Harvard University

Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performanc...

Deep Learning Essentials

Offered by Université de Montréal

Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila and Université de Montréal: an extensive overview of the essentia...

Deep Learning Pro: Advanced AI Interview Prep

[FREE] Deep Learning Pro: Advanced AI Interview PrepDive into the advanced realm of AI with our meticulously crafted course, "[FREE] Deep Learning Pro: Advanced AI Interview Prep." This course is a wellspring of deep lea...

Natural Language Processing with Deep Learning in Python

Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications.In this course we ar...

Transformer Modelle und Deep Learning

Dieser Kurs beschäftigt sich mit dem Thema Encoder-Decoder-Modellarchitekturen im Deep Learning und darauf basierenden Anwendungsfällen im Bereich Natural Language Understanding.Wir besprechen, wie Encoder-Decoder Modell...

Deep Learning for NLP - Part 1

This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce basic deep learning concepts like multi-layered perceptrons, word embeddings and recurrent neural networks. These concepts fo...

Deep Learning in Practice I: Tensorflow Basics and Datasets

You want to start developing deep learning solutions, but you do not want to lose time in mathematics and theory?You want to conduct deep learning projects, but do not like the hassle of tedious programming tasks?Do you...

Practical Deep Learning with Tensorflow 2.x and Keras

**UPDATED: Now using Tensorflow 2. Please post in Q&A if you have any trouble. I'm here to help****UPDATED 11-2021: Added a section on Practical Transfer Learning**TensorFlow is by far, the most popula...

Deep Learning :Adv. Computer Vision (object detection+more!)

Latest update: I will show you both how to use a pretrained model and how to train one yourself with a custom dataset on Google Colab.This course is a complete guide for setting up TensorFlow object detection api, Transf...

Deep Learning (Python) for Neuroscience EEG Practical course

Lecture 1: IntroductionHere you will find a short introduction to the course. We outline the objectives, structure, and practical outcomes. This sets the stage for a hands-on experience in machine learning with EEG signa...

A Practical Guide to Deep Learning with Keras

Keras is an Open source Neural Network library written in Python. It is a Deep Learning library for fast, efficient training of Deep Learning models. It is a minimal, highly modular framework that runs on both CPUs and G...

Complete Machine Learning and Deep Learning With H2O in R

                     YOUR COMPLETE GUIDE TO H2O: POWERFUL R PACKAGE FOR MACHINE LEARNING, & DEEP LEARNING IN R    This course covers the main aspe...