Who am I? I'm a ML engineer documenting my learning through X. Look through my GitHub for all my fascinating projects :). Feel free to reach out and talk!.

how sunday's are supposed to be

hyderabad skies 🤌🤌

joined Deloitte this sep, side projects are going well, I'm taking care of my health, I have been reading a lot .we are so back.

this is what I'm building for s5 along with @AerialUni & @CantBeSubh . cc @_buildspace @_nightsweekends

Been working on a GAN model for sometime, trained it for a couple of epochs and made a gif out of it :)

"not allowed" lmaoo

4 weeks down for 2024. - almost completed my final year research paper. - reached 1600+ rating on leetcode (one more competition to knight). - started working with academics office to optimise the class scheduling software for my college.

- got 180+ followers on Dev . to. - went to gym 9/14 days . - started working on neuroAdvert project for another research paper. pretty good start to the year tbh.

2 weeks done and dusted for 2024. - made a EEG classification model using CNN for final year research paper. - completed TensorFlow Developers Specialization. - made a custom GAN model for pix2pix generation . - read 1 book (Think Straight by @DariusForoux).

Why is it so hard to convert a tensor into numpy arrays ahhhhhhhhhhhh.

"What are word embeddings?" by Aman Gupta #DEVCommunity

A small data preprocessing blog to prepare data for NLP applications, topics included:.- tokenizating .- padding .- filtering out stop words. "Preparing data for Sentiment analysis with TensorFlow" by Aman Gupta #DEVCommunity

Been spending a lot of time leaning CNN's, here's everything i have learned . "Convolutional Neural Networks in TensorFlow" by Aman Gupta #DEVCommunity

Just now completed Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, it's been a fun ride. 1/4th work done to get that Deep Learning specialisation. Here's the blog -

So I started studying deep learning, following along DeepLearning. ai's tensor flow developers specialisation, just now completed 3 weeks of content, will soon write a blog about it, covering all the topics I learned and the notes I made.

Recently I published a python library, that I have been working on for sometime. - Visualises arrays data into pretty and clean tables.- Multiple customisation options to make the table stand out. How to install - pip install tabuletta .#Python #libraries #Datavisualization

RT @akshay_pachaar: This Python library is so powerful! 🔥. Introducing pix2tex! 🚀. Now you can convert images of equations into LaTeX in ju….

Here's the link to my play ground:

Here's what I have learned so far.- best practices for using TensorFlow.- building a basic neural network in TensorFlow.- training a neural network for a computer vision application.- understanding how to use convolutions to improve neural network.

I have been preparing for TensorFlow specialization by for quite sometime, here's a glimpse of what I have been coding up