Machine Learning

Notebooks and examples of how to learn machine learning step by step based on my personal experience.

Still in working progress because I am still learning this all by myself..

Currently this is mainly around:

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
assets		assets
.gitignore		.gitignore
01_Thinking_in_Math.ipynb		01_Thinking_in_Math.ipynb
02_TensorFlow_Basis.ipynb		02_TensorFlow_Basis.ipynb
03_MNIST.ipynb		03_MNIST.ipynb
04_Machine_Learning.ipynb		04_Machine_Learning.ipynb
05_Convolutional_Neural_Networks_for_Visual_Recognition.ipynb		05_Convolutional_Neural_Networks_for_Visual_Recognition.ipynb
06_MNIST_MLP_with_Tensorboard.ipynb		06_MNIST_MLP_with_Tensorboard.ipynb
07_MNIST_CNN.ipynb		07_MNIST_CNN.ipynb
07_MNIST_LSTM.ipynb		07_MNIST_LSTM.ipynb
README.md		README.md
docker-compose.yml		docker-compose.yml
sum-of-largest-odd-divisions.js		sum-of-largest-odd-divisions.js

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