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

Medium · AI
🧬 Deep Learning
⚡ AI Lesson
1mo ago
10 Must-Know Interview Questions on Deep Learning Models
CNNs, Transformers, RNNs, Autoencoders & More — Explained in Plain English Continue reading on Medium »

Medium · AI
🧬 Deep Learning
⚡ AI Lesson
2mo ago
The Deep Learning Compendium: From Mathematical Foundations to Modern Architectures
In the technology sector, Deep Learning (DL) is the engine driving the transition from static code to adaptive intelligence. Continue reading on Medium »
Medium · Programming
🧬 Deep Learning
⚡ AI Lesson
2mo ago
Engineering Realism from Noise: A Deep Dive into DCGAN and WGAN-GP:
Introduction: The idea that a neural network can generate realistic images from pure randomness is both fascinating and counterintuitive… Continue reading on Me
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