Neural_Network_From_Scratch

This is a reposatory for implementation of different types of optimizers (SGD, RMSprop, Adam etc.) with three different use cases,

Note: This is an assignment of Deep Learning Course taught by Prof. C. Chandra Sekhar offered in Dept. of Computer Science, IIT Madras.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.ipynb_checkpoints		.ipynb_checkpoints
A1_Single_label_image_classification_dataset_features		A1_Single_label_image_classification_dataset_features
A1_Single_label_image_classification_dataset_images/Images		A1_Single_label_image_classification_dataset_images/Images
Function_approximation		Function_approximation
Multi-label_team_1-6		Multi-label_team_1-6
Experiment-and-Results.pdf		Experiment-and-Results.pdf
Neural_network_one_hidden_layer_Function_approximation.ipynb		Neural_network_one_hidden_layer_Function_approximation.ipynb
Neural_network_one_hidden_layer_Single_label_classification.ipynb		Neural_network_one_hidden_layer_Single_label_classification.ipynb
Neural_network_two_hidden_layer_Function_approximation.ipynb		Neural_network_two_hidden_layer_Function_approximation.ipynb
Neural_network_two_hidden_layer_Multi_label_classification_in_progress.ipynb		Neural_network_two_hidden_layer_Multi_label_classification_in_progress.ipynb
Neural_network_two_hidden_layer_Single_label_classification.ipynb		Neural_network_two_hidden_layer_Single_label_classification.ipynb
README.md		README.md

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