Blog Posts

About Machine & Deep Learning and Cloud Computing

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A Comprehensive Guide to Neural Machine Translation using Seq2Seq Modelling using PyTorch

In this post, we will be building an LSTM based Seq2Seq model with the Encoder-Decoder architecture for machine translation without attention mechanism

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Create your Mini-Word-Embedding from Scratch using Pytorch

On a lighter note, the embedding of a particular word (In Higher Dimension) is nothing but a vector representation of that word (In Lower Dimension)

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Visual Representation of Matrix and Vector Operations and implementations in NumPy, Torch, and TensorFlow

Implementing rudimentary to advanced operations on deep learning’s fundamental units.

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Yolo-V5 Object Detection on a Custom Dataset

Step by step instructions to train Yolo-v5 & do Inference to count the blood cells and localize them.

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