sunde41/Artificial-Neural-Networks-with-Jupyter

Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook

Artificial Neural Networks (ANN)

Tutorials

1. Introduction
2. Forward Propagation
3. Gradient Descent
4. Backpropagation
5. Checking gradient
6. Training via BFGS
7. Overfitting & Regularization
8. Deep Learning I : Image Recognition (Image uploading)
9. Deep Learning II : Image Recognition (Image classification)
10. Deep Learning III : Deep Learning III : Theano, TensorFlow, and Keras