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1. Deep-Learning-CSCI-599-Assignment-1 Deep-Learning-CSCI-599-Assignment-1 Public

   Forward and Backward Pass of the neural Network, Activation Functions, Optimizer Implementations, Tensorflow, Transfer Learning, Grad-CAM.

   Jupyter Notebook 5

2. Machine-Learning-Course---Stanford Machine-Learning-Course---Stanford Public

   Linear Regression, Logistic Regression, K-means Clustering, PCA, SVM, Multi-Classification; Implemented Applications - Recommendation Systems, Spam Classifier

   MATLAB 1 1

3. Web-Technologies-CSCI-571- Web-Technologies-CSCI-571- Public

   Custom dynamic Website - Technologies used: HTML, CSS, AngularJS, PHP, NodeJS, JSON

   Java 1

4. Deep-Learning-CSCI-599-Assignment-2 Deep-Learning-CSCI-599-Assignment-2 Public

   Implement Neural network training procedure for Recurrent Neural Networks (RNNs), Language modeling using RNNs, Implement generative model, Generative Adversarial Networks (GANs)

   Jupyter Notebook 1

5. Crowd-Analysis-by-Face-Recognition-and-Expression-Detection Crowd-Analysis-by-Face-Recognition-and-Expression-Detection Public

   The project presents a hybrid model of face recognition and expression detection for analyzing crowd behaviour. Implemented Multi-Label Convolutional Neural Network on our own curated dataset of 50…

   Jupyter Notebook 7 5

6. Deep-Learning-Specialization-Stanford-Coursera Deep-Learning-Specialization-Stanford-Coursera Public

   Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization. Case Studies on healthcare, autonomous driving, sign language reading, music generation, and natural language…

   Jupyter Notebook 1 1