4600+ Deep Learning Online Courses for 2025 | Explore Free Courses & Certifications

Introduction to Deep Learning

Neural Networks and Deep Learning

fast.ai

Practical Deep Learning For Coders

Deep Learning in the Age of Zen, Vega, and Beyond

Stanford Seminar - Mixture of Experts Paradigm and the Switch Transformer

Stanford Seminar - Recent Progress in Verifying Neural Networks, Zico Kolter

Deep Learning Methods for Electrocardiograms and Echocardiograms

Adversarial Debiasing With Partial Learning - Medical Image Studies

Stanford Seminar - HPC Opportunities in Deep Learning - Greg Diamos, Baidu

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford Seminar - Deep Learning in Speech Recognition

Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18

HECTOR - Multimodal Deep Learning Model for Predicting Recurrence Risk in Endometrial Cancer

Deep Learning Courses and Certifications

Class Central's Top Deep Learning Courses

Neural Networks and Deep Learning

Introduction to Deep Learning

NYU Deep Learning

Intro to Deep Learning with PyTorch

Practical Deep Learning For Coders

Introduction to Deep Learning & Neural Networks with Keras

Deep Learning with PyTorch: Zero to GANs

Probabilistic Deep Learning with TensorFlow 2

Machine Learning with Python: from Linear Models to Deep Learning.

Deep Learning Applications for Computer Vision

All Deep Learning Courses

Introduction to Deep Learning

Neural Networks and Deep Learning

Practical Deep Learning For Coders

Deep Learning in the Age of Zen, Vega, and Beyond

Stanford Seminar - Mixture of Experts Paradigm and the Switch Transformer

Stanford Seminar - Recent Progress in Verifying Neural Networks, Zico Kolter

Deep Learning Methods for Electrocardiograms and Echocardiograms

Adversarial Debiasing With Partial Learning - Medical Image Studies

Stanford Seminar - HPC Opportunities in Deep Learning - Greg Diamos, Baidu

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford Seminar - Deep Learning in Speech Recognition

Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18

HECTOR - Multimodal Deep Learning Model for Predicting Recurrence Risk in Endometrial Cancer

Deep Learning Courses and Certifications

Class Central's Top Deep Learning Courses

Neural Networks and Deep Learning

Introduction to Deep Learning

NYU Deep Learning

Intro to Deep Learning with PyTorch

Practical Deep Learning For Coders

Introduction to Deep Learning & Neural Networks with Keras

Deep Learning with PyTorch: Zero to GANs

Probabilistic Deep Learning with TensorFlow 2

Machine Learning with Python: from Linear Models to Deep Learning.

Deep Learning Applications for Computer Vision

All Deep Learning Courses

Introduction to Deep Learning

Neural Networks and Deep Learning

Practical Deep Learning For Coders

Deep Learning in the Age of Zen, Vega, and Beyond

Stanford Seminar - Mixture of Experts Paradigm and the Switch Transformer

Stanford Seminar - Recent Progress in Verifying Neural Networks, Zico Kolter

Deep Learning Methods for Electrocardiograms and Echocardiograms

Adversarial Debiasing With Partial Learning - Medical Image Studies

Stanford Seminar - HPC Opportunities in Deep Learning - Greg Diamos, Baidu

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford Seminar - Deep Learning in Speech Recognition

Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18

HECTOR - Multimodal Deep Learning Model for Predicting Recurrence Risk in Endometrial Cancer