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Algorithms Data Science

Stock Prediction Using Deep Learning

Recently have been looking into some stock market prediction libraries and repositories for our group project for CS7643 Deep Learning at Georgia Tech. Previously I worked on traditional Machine Learning algorithms and Q-Learning algorithm from Reinforcement Learning for CS7646: Machine Learning for Trading commonly known as the “ML4T course”. My codes for ML4T is locked […]

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Algorithms Data Science

Resources to Understand Transformer Architecture in NLP

Posting some great resources to understand the Transformer architecture for NLP presented in the paper “Attention is All You Need” (Vaswani et al. 2017). This website by J Al-Ammar is excellent The next best resource is this annotated implementation of Transformer in PyTorch from Harvard University Second, read this article called “Attention! Attention!” by Lilian […]

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Data Science OMSCS

Deep Learning Image Processing Tasks

Image Classification: Class distribution per image Semantic Segmentation: Class distribution per pixel Instance Segmentation: Class distribution per pixel with unique ID Object Detection: List of bounding boxes with Class distribution per box

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Data Science

Easy explanation of Convolution vs Cross-Correlation in Convolutional Neural Network (CNN)

Convolution layer for CNN is explained in simple words

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Algorithms Data Science OMSCS

Neural Network Differentiation

To differentiate the loss function in a Neural Network, there are four options Manual differentiation: It is labor intensive and often it is hard to calculate the closed form solution especially for complex function Symbolic differentiation: Like manual, it is also hard for complex function Numerical differentiation: Can handle complex function but may cause numerical […]