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