Here i will gather courses that i passed and think that they give good amount of materials in short period of time with good clarification of each step.
Labels:
- [BTM] - Best theoretical material
- [BPM] - Best practical material
- [BS] - Basics
- [BPM] Practical machine learning (John Hopkins University)
- Creative applications of Deep Learning with Tensorflow (Kadeze Academy)
- [BS] Machine Learning (Stanford University)
- [BTM,BS] CS231n: Convolutional Neural Networks for Visual Recognition 2016 (Assigments)
- CS224d: Deep Learning for Natural Language Processing
- Deep Learning by Google
- Artificial Inteligence Book
- TensorFlow-World tutorials from astorfi
- Tensorflow-101 tutorials from sjchoi86
- Tensorflow tutorials from aymericdamien
- Tensorflow tutorials from nlintz
- Tensorflow tutorials from pkmital
- [BPM] Tensorflow cookbook from nfmcclure
- [BPM] Tensorflow tutorials from Hvass-Labs
- [BPM] Fast Style Transfer in TensorFlow
- [BPM] Deep Photo Style Transfer
- [BPM] Deep Image Analogy
- A comprehensive beginner’s guide to create a Time Series Forecast (with Codes in Python)
- Data mining python tutorial
- Understanding the backward pass through Batch Normalization Layer
- [BTM] A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN
- [BTM,BPM] Deconvolution and Checkerboard Artifacts
- [BTM,BPM] Deep Bilateral Learning for Real-Time Image Enhancement
- [BTM] Debugging Neural Networks: A Checklist