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Deep Learning
Blog posts
A collection of learning resources for the AI world
A workflow for creating a Docker image with support for TensorFlow, PyTorch, and GPU
Reading: Hands-On ML - Quick notes (from Chapter 4)
draft
Note for couse DL 1: NN and DL
Reading: Hands-On ML - Chap 1: The ML Landscape
Reading: Hands-On ML - Chap 3: Classification
Reading: Hands-On ML - Chap 2: End-to-End ML Project
DS & ML with Mac M1
Jupyter notebook
Tensorflow
Resources for DS & ML & DL
Note for couse DL 5: Sequence models
draft
Note for course TF 3: NLP in TF
Note for couse DL 4: CNN
draft
PyTorch
draft
Note for course TF 2: CNN in TF
Note for course TF 4: Sequences, TS, Prediction
Note for course TF 1: Intro to TF for AI, ML and DL
Note for couse DL 3: Structuring ML Projects
Note for couse DL 2: Improving DNN: Tuning, Regularization and Optimization
Autoencoder
draft