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Topic "Deep Learning" | Site of Thi
Deep Learning
Deep Learning
updated
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)
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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
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DL by DL.AI — Course 1: NN and DL
DL by DL.AI — Course 4: CNN
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DL by DL.AI — Course 2: Improving DNN - Tuning, Regularization and Optimization
HOG (Histogram of Oriented Gradients)
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DL by DL.AI — Course 3: Structuring ML Projects
DL by DL.AI — Course 5: Sequence models
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[archived] Resources for DS & ML & DL
Tensorflow
TF by DL.AI — Course 3: NLP in TF
PyTorch
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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
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