Thi Notes
About
Notes
Blog
Topics
Tools
Reading
Deep Learning
Deep Learning
A collection of learning resources
Jupyter notebook
DS & ML with Mac M-chip
A workflow for creating a Docker image with support for TensorFlow, PyTorch, and GPU
Reading: Hands-On ML - Chap 1: The ML Landscape
Reading: Hands-On ML - Quick notes (Chapter 14 & 15)
Reading: Hands-On ML - Chap 2: End-to-End ML Project
Reading: Hands-On ML - Chap 3: Classification
ResNet (Residual Networks)
draft
Reading: Hands-On ML - Quick notes (Chapter 10 — 13)
Reading: Hands-On ML - Quick notes (Chapter 4 — 9)
R-CNN & Fast R-CNN & Faster R-CNN & Mask R-CNN
draft
DL by DL.AI — Course 1: NN and DL
DL by DL.AI — Course 4: CNN
draft
DL by DL.AI — Course 2: Improving DNN - Tuning, Regularization and Optimization
HOG (Histogram of Oriented Gradients)
draft
DL by DL.AI — Course 3: Structuring ML Projects
DL by DL.AI — Course 5: Sequence models
draft
[archived] Resources for DS & ML & DL
Tensorflow
TF by DL.AI — Course 3: NLP in TF
PyTorch
draft
TF by DL.AI — Course 2: CNN in TF
TF by DL.AI — Course 4: Sequences, TS, Prediction
TF by DL.AI — Course 1: Intro to TF for AI, ML and DL
Autoencoder
draft