Foundations
Deep Learning
Neural networks, CNNs, RNNs, transformers, diffusion models and training techniques
Skills in this topic
5 skills — Sign in to track your progress
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
ArXiv cs.AI
🧬 Deep Learning
📄 Paper
⚡ AI Lesson
1w ago
State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading
arXiv:2606.27032v1 Announce Type: cross Abstract: Energy trading decisions depend not only on current market prices, but also on expected future market conditio
ArXiv cs.AI
🧬 Deep Learning
📄 Paper
⚡ AI Lesson
3w ago
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem
arXiv:2606.13682v1 Announce Type: new Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains computational
DeepCamp AI