/nn_tutorial

This is a tutorial repository for basic examples of TensorFlow and Neural Networks.

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nn_tutorial

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This is a tutorial repository for basic examples of TensorFlow and Neural Networks

You can find most of these approaches in the internet as well. I tried reducing the libraries and moving parts used in the codes in order to maintain the forward-compatibility of the repository. Some of these codes are assignments are for ce959-1: Deep Learning at Sharif University of Technology


CE_SSE.py: Plotting states of Cross Entropy and SSE loss functions

Iris Data.py: Iris Data classification using Softmax

Linear_regression.py: Linear Regression algorithm only using numpy

Perceptron_Algorithm_AND.py: Perceptron algorithm - AND operator

Perceptron_Algorithm_OR.py: Perceptron algorithm - OR operator

Perceptron_Algorithm_XOR.py: Perceptron algorithm - XOR operator

Titanic_logistic_regression.py: Titanic data with Logistic Regression