Foundations

Deep Learning

Neural networks, CNNs, RNNs, transformers, diffusion models and training techniques

2,917
lessons
Skills in this topic
View full skill map →
Neural Network Basics
beginner
Implement a 2-layer net in NumPy and PyTorch
CNN Architectures
intermediate
Build a CNN image classifier in PyTorch
Sequence Models
intermediate
Implement an LSTM text generator
Generative Models
advanced
Train a GAN on image data
Training at Scale
advanced
Use FP16/BF16 mixed precision training
📚 Continue on Coursera External links · Free to audit
1 / 3 View all →
Network and Security Optimization in Telecommunication
📚 External: Coursera ↗
Self-paced
Network and Security Optimization in Telecommunication
Opens on Coursera ↗
Visión artificial contemporánea
📚 External: Coursera ↗
Self-paced
Visión artificial contemporánea
Opens on Coursera ↗
Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro
📚 External: Coursera ↗
Self-paced
Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro
Opens on Coursera ↗
Deep Learning: Advanced Backbones and Efficient GPU Training
📚 External: Coursera ↗
Self-paced
Deep Learning: Advanced Backbones and Efficient GPU Training
Opens on Coursera ↗
Deep Learning: Del Concepto a la Práctica
📚 External: Coursera ↗
Self-paced
Deep Learning: Del Concepto a la Práctica
Opens on Coursera ↗
Deep Learning: Train Neural Networks and Deploy with Docker
📚 External: Coursera ↗
Self-paced
Deep Learning: Train Neural Networks and Deploy with Docker
Opens on Coursera ↗