We are providing Jupyter notebooks in Julia and Python.
- MNIST-Intro. Basic operations with the MNIST dataset of handwritten digits.
- DeltaRule. Training an LT neuron with the delta rule to recognize "two"s.
- Backprop. Training a multilayer perceptron with backpropagation to classify digits.
- Minibatch. Minibatch training of MLP on MNIST
- ConvolutionBasics. Simple coding exercises for understanding convolution
- LeNet. Training a convolutional net on MNIST
- MaxPoolBackprop. Illustration of max-pooling forward and backward passes
- ToyConvolutionPooling. Toy model illustrating convolution and pooling.
- CIFAR10. Training a convolutional net on CIFAR-10 using TensorFlow