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