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just some boilerplate code for implementing neural nets in pytorch , with some added GUI vis for fun. Play with the parameters and make observations as to how they affect the training process.

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
.ipynb_checkpoints		.ipynb_checkpoints
CNN_mnist		CNN_mnist
function_approximator		function_approximator
logistic_regression		logistic_regression
README.md		README.md

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Function Approximator

Approximate generated functions using a simple Neural Network

Logistic Regression

Observe Binary and multi-class Logistic Regression

CNN with MNIST

Classify you own handwritten digits with a Convolutional Neural Network trained on the famous MNIST dataset

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just some boilerplate code for implementing neural nets in pytorch , with some added GUI vis for fun. Play with the parameters and make observations as to how they affect the training process.

machine-learning pytorch artificial-intelligence beginner beginners-tutorial-series pytorch-tutorial pysimplegui

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