Practical Deep Learning for Coders
Top-down deep learning with Fast.ai
Fast.ai's top-down approach to deep learning. Covers CNNs, RNNs, transfer learning, tabular data, collaborative filtering, and deployment - all with PyTorch.
AI EngineeringFreeintermediate10 weeks
Submitted by @kiraRoadmap (5 steps)
1
Getting Started with Deep Learning
2 weeks#CNNs#Image Classification#Transfer Learning#PyTorch Basics
2
Production & Deployment
2 weeks#Model Export#Inference APIs#Gradio Apps#Hugging Face Hub
3
NLP & Tabular Data
2 weeks#Tokenization#Transformers#Tabular Models#Embeddings
4
Collaborative Filtering & Ethics
2 weeks#Recommendation Systems#Implicit Feedback#Bias in ML#Model Interpretability
5
Capstone Project
2 weeksBuild and deploy a deep learning model to solve a real-world problem using Fast.ai and PyTorch.