Posts
[Python Review] Part I: The Basics
[From NAND to TETRIS] Computer Architecture 101 Part I: Logic Gates, ALU and Memory
[Python Essentials] Digging into Package and Environment Management to Find the Best Approach
[Python Essentials] Mental Models of Expert Level Features
FastAI Lesson 12: Advanced training techniques; ULMFiT from scratch
FastAI Lesson 11: Data Block API, and generic optimizer
FastAI Lesson 10: Looking Inside the Model
FastAI Lesson 9: How to Train Your Model
FastAI Lesson 8: Backprop from the Foundations
FastAI Lesson 7: Resnets from scratch; U-net; Generative adversarial networks; RNNs
FastAI Lesson 6: Regression on Tabular Time Series; Regularization; Convolution; Data Ethics
FastAI Lesson 5: Collaborative Filtering cont.; Backpropagation; Accelerated SGD; NN from Scratch
FastAI Lesson 4: NLP; Tabular Data; Collaborative Filtering and Embeddings
FastAI Lesson 3: Data blocks; Multi-label classification; Segmentation
FastAI Lesson 2: Data Cleaning and Production. SGD from Scratch