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Practical deep learning for coders
fast.ai · deep learning, pytorch, training, model internals
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
31 matches for "deep learning"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
Educators
Jeremy Howard
fast.ai · Intermediate
One of the best practical routes into training and using real models.
Skills
Deep learning, PyTorch, Model training
Daniel Bourke
Learn PyTorch · Beginner to intermediate
Hands-on PyTorch learning path that complements fast.ai and model-internals material.
Skills
PyTorch, Deep learning, Computer vision
François Chollet
Deep Learning with Python · Intermediate
Clear conceptual and practical deep learning education from the creator of Keras.
Skills
Keras, Deep learning, Model design
Aurelien Geron
Hands-On Machine Learning · Beginner to intermediate
One of the most useful hands-on books for classical ML plus neural network foundations.
Skills
Scikit-learn, TensorFlow, ML foundations, Deep learning
Brandon Rohrer
Brandon Rohrer ML explanations · Beginner to intermediate
Good plain-English explanations of ML concepts, pitfalls, and practical mental models.
Skills
ML foundations, Deep learning, Model intuition
Krish Naik
Krish Naik AI tutorials · Beginner to intermediate
Large catalog of practical machine learning, deep learning, and generative AI tutorials.
Skills
Machine learning, Deep learning, LLM apps, MLOps
Sentdex
Sentdex AI tutorials · Beginner to intermediate
Practical Python-first tutorials across ML, deep learning, and reinforcement learning.
Skills
Python ML, Deep learning, Reinforcement learning, AI coding
Nicholas Renotte
Nicholas Renotte AI tutorials · Beginner to intermediate
Project-based AI tutorials for people who learn by building demos and prototypes.
Skills
Computer vision, LLM apps, Python ML, Deep learning
Providers and platforms
FS
Full Stack Deep Learning
Full Stack Deep Learning · Intermediate to advanced
Practical coverage of the whole ML product lifecycle.
Topics
MLOps, Deployment, Product ML
DA
DeepLearning.AI
DeepLearning.AI · Beginner to advanced
A broad catalog of structured AI courses, including many short practical courses from tool creators.
Topics
Generative AI, Deep learning, Prompting, Agents
M6
MIT 6.S191
MIT Introduction to Deep Learning · Beginner to intermediate
Compact university-level deep learning coverage with updated lectures and hands-on labs.
Topics
Deep learning, Neural networks, Generative AI, Model training
SC
Stanford CS224N
Natural Language Processing with Deep Learning · Intermediate to advanced
A deep route into the NLP concepts behind embeddings, attention, and modern language models.
Topics
NLP, Transformers, Embeddings, Language models
SC
Still useful for understanding vision models, training loops, backpropagation, and representation learning.
Topics
Computer vision, Deep learning, Model training
ND
NVIDIA Deep Learning Institute
NVIDIA DLI · Beginner to advanced
Useful for practical GPU, deep learning, and enterprise AI training with hands-on labs.
Topics
Deep learning, GPU computing, Generative AI, Deployment
U
Udacity
Udacity School of AI · Beginner to advanced
Project-heavy AI learning for people who want structured programs and portfolio work.
Topics
Machine learning, Deep learning, AI product, Computer vision
Learning paths
Production AI engineering
Engineering teams
Learn first
- Observability
- Cost and latency
- Deployment
- Data pipelines
Good matches
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Resources
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Practical Deep Learning for Coders
Free course · fast.ai · Intermediate
You can code and want a practical route into training models.
deep learning, pytorch, training
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Learn PyTorch
Free book and videos · Daniel Bourke · Beginner to intermediate
You want to learn deep learning by writing PyTorch code.
pytorch, deep learning, computer vision
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Full Stack Deep Learning Lectures
Course videos · Full Stack Deep Learning · Intermediate to advanced
You want the whole lifecycle of ML and AI product development.
mlops, deployment, product ml
fast.ai
Free course · Jeremy Howard · Intermediate
Use this when you want Jeremy Howard's material for deep learning and related AI skills.
Deep learning, PyTorch, Model training
Learn PyTorch
Free book · Daniel Bourke · Beginner to intermediate
Use this when you want Daniel Bourke's material for pytorch and related AI skills.
PyTorch, Deep learning, Computer vision
Deep Learning with Python
Book · François Chollet · Intermediate
Use this when you want François Chollet's material for keras and related AI skills.
Keras, Deep learning, Model design
Hands-On Machine Learning
Book · Aurelien Geron · Beginner to intermediate
Use this when you want Aurelien Geron's material for scikit-learn and related AI skills.
Scikit-learn, TensorFlow, ML foundations, Deep learning
Brandon Rohrer ML explanations
Essays · Brandon Rohrer · Beginner to intermediate
Use this when you want Brandon Rohrer's material for ml foundations and related AI skills.
ML foundations, Deep learning, Model intuition
Krish Naik AI tutorials
YouTube tutorials · Krish Naik · Beginner to intermediate
Use this when you want Krish Naik's material for machine learning and related AI skills.
Machine learning, Deep learning, LLM apps, MLOps
Sentdex AI tutorials
YouTube tutorials · Sentdex · Beginner to intermediate
Use this when you want Sentdex's material for python ml and related AI skills.
Python ML, Deep learning, Reinforcement learning, AI coding
Nicholas Renotte AI tutorials
YouTube tutorials · Nicholas Renotte · Beginner to intermediate
Use this when you want Nicholas Renotte's material for computer vision and related AI skills.
Computer vision, LLM apps, Python ML, Deep learning