Sample code for COS495 homework assignments

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

Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
Backprop.ipynb		Backprop.ipynb
Backprop_Python.ipynb		Backprop_Python.ipynb
CIFAR10.ipynb		CIFAR10.ipynb
CIFAR10_Python.ipynb		CIFAR10_Python.ipynb
ConvolutionBackprop.ipynb		ConvolutionBackprop.ipynb
ConvolutionBasics.ipynb		ConvolutionBasics.ipynb
ConvolutionBasics_Python.ipynb		ConvolutionBasics_Python.ipynb
DeltaRule.ipynb		DeltaRule.ipynb
DeltaRule_Python.ipynb		DeltaRule_Python.ipynb
Elman.ipynb		Elman.ipynb
Elman_Python.ipynb		Elman_Python.ipynb
LeNet.ipynb		LeNet.ipynb
LeNet_Python.ipynb		LeNet_Python.ipynb
MNIST-Intro.ipynb		MNIST-Intro.ipynb
MNIST-Intro_Python.ipynb		MNIST-Intro_Python.ipynb
MaxPoolBackprop.ipynb		MaxPoolBackprop.ipynb
Minibatch.ipynb		Minibatch.ipynb
Minibatch_Python.ipynb		Minibatch_Python.ipynb
README.md		README.md
ToyConvolutionPooling.ipynb		ToyConvolutionPooling.ipynb
Unigram.ipynb		Unigram.ipynb
Unigram_Python.ipynb		Unigram_Python.ipynb
prepare_cifar10.py		prepare_cifar10.py
shakespeare.txt		shakespeare.txt

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