@chaitanya58
AI Intern at AMMACHI LABS
I'm an undergraduate student at Amrita University.
Discussions related to Causal AI, neural networks and deep learning.
Apr 8, 2021 路 5 min read 路 I heard about the dynamic modelling that can be done using PYMC3. I tried PyMC3 library to perform approximate Bayesian inference for logistic regression. A effective model for analysing how a collection of features affects a binary target mark is lo...
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Mar 17, 2021 路 2 min read 路 My college had initially bought Coursera's subscription when COVID-19 started. This gave us a chance to learn while the classes didn't start online. Coursera's Hadron Collider Course was a definite go to and it was really exciting working through tha...
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Feb 16, 2021 路 4 min read 路 For this blogpost, I'll be explaining on how to use a pretrained model and creating an image captioning model using it. The input is an image and it is imbedded with a condition LSTM. On that embedding, the next token is predicted using a START inp...
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Jan 29, 2021 路 2 min read 路 This blog is about training a neural net to generate plausible human faces in all their subtlety. This include appearance, expression, accessories, etc. Cuz when us machines gonna take over Earth, there won't be any more faces left. We want to preser...
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Jan 11, 2021 路 2 min read 路 Expectation Maximization Algorithm is the most common method for carrying out soft clustering on data. The algorithm is a coordinate descent optimization involving variational lower bound. The theta parameter consists of covariance vectors 危饾憪 , mean...
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