- Introduction
- Forward Propagation
- Gradient Descent
- Backpropagation
- Checking gradient
- Training via BFGS
- Overfitting & Regularization
- Deep Learning I : Image Recognition (Image uploading)
- Deep Learning II : Image Recognition (Image classification)
- Deep Learning III : Deep Learning III : Theano, TensorFlow, and Keras
-
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Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook
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