This blog is becoming an outlet for me to write my heart out. I have no idea where I am going to go with this blog, but one thing is for sure that this is not going to be just tutorials and stuff. It will be about what I think and feel so that later … Continue reading From maths grad to data scientist – a short read →

We have seen and know the neural networks which takes an image, say car and outputs the log likely hood of various classes. We can also have a neural network(ConvNets) which can predict whether an image is of a cat or not - However we do the task of finding the object of interest (the … Continue reading Attention and Memory in Deep Learning →

Introduction to Reinforcement Learning - This blog post is an attempt to tackle the question of what reinforcement learning really is? If you have heard all the buzz around reinforcement learning and don't know about it then please keep reading. Also, follow the blog if you like my attempt! We will try to develop an … Continue reading Reinforcement Learning for beginners →

This article is going to be about antlr (ANother Tool for Language Recognition) and how do we build a parser that parses Cassandra Query Language(CQL) for us. Antlr is used to build languages(like CQL). Antlr generates a powerful parser using the grammar of a language that can build and walk the parse trees. I hope … Continue reading Antlr: Writing a Cassandra Parser →

Here we will cover some basics of pytorch which will help us get started. We will see some basic operations and get our hands dirty with pytorch. We will start by importing necessary modules. import torch import torch.nn as nn Lets us start by initializing a tensor. x = torch.tensor(([5.1,4.3,2.5],[5.1,4.3,2.5],[5.1,4.3,2.5]), dtype=torch.float) In pytorch everything is … Continue reading Simple introduction to Pytorch →

In this blog post I am going to summarize the paper titled - "Topology of Learning in Artificial Neural Networks". This paper gave me a new view a new insights about how we can analyze the way neural network learns! Quoting from the paper - "Understanding how neural networks learn remains one of the central … Continue reading Paper Summary: How neural network learns? →

In this blog post, we will be writing a simple convolutional neural network for classifying data in cifar-10 dataset. The code is available here and it is well commented, download and run it in case you want to see things in action. we will start by importing the necessary libraries first. import torch import torch.nn … Continue reading Pytorch ConvNet Classifier for Cifar-10 →

Amazing to see you here! If you have stumbled upon this blog then it means most probably you are starting your journey in deep learning. Yay! I am excited for you. If you are an advanced pytorch user then it will be a refresher for you. So this article is going to help you in … Continue reading Simple Neural Network in Pytorch →

Today's post is about the best books to read if you are into deep learning in 2019 for free. Some of these deep learning books are theoretical in approach, focusing more on mathematics behind neural networks and deep learning. While, Other books have practical approach. The Deep Learning Book - Any post will be incomplete without mention … Continue reading Best Books to read about Deep Learning in 2019 for free →