notes-on-deep-learning

Some notes on deep learning.

deeplearning.ai classes on Coursera

1. Activation Functions
2. Logistic Regression by Gradient Descent
3. Linear Regression by Gradient Descent
4. Binary Classification by Neural Network
5. Fitting a Sine Wave
6. MNIST Hand-written Digits
7. Cats and Dogs Image Classification
8. Neural Net Training in Tensorflow

Other notebooks

• Playing with fastText word vectors
• PyTorch CrossEntropyLoss

Running

The requirements.txt file might need some help.

To run the jupyter notebooks install jupyter and enter:

> jupyter notebook