PyTorch vs TensorFlow in 2022
TensorFlow and PyTorch are two widely used frameworks for Deep Learning. But how to choose? Which performs better in which situation? Let’s see PyTorch vs TensorFlow in action!
My personal journey and extensive research about Natural Language Processing and Machine Learning led to the creation of this blog. The aim is to share this knowledge with others seeking to start their own journey towards NLP.
TensorFlow and PyTorch are two widely used frameworks for Deep Learning. But how to choose? Which performs better in which situation? Let’s see PyTorch vs TensorFlow in action!
There are many Deep Learning frameworks out there. But which one is the best framework for Deep Learning? Opinions vary on the matter, so let’s try to see a bit clearer.
Embedding is widely used in Machine Learning, but is mostly known for its use in NLP. So what is embedding in Natural Language Processing?
Embeddings are a pivotal part of Machine Learning, especially Natural Language Processing. So today we’ll see what is embedding in Machine Learning.
We know that Loss is a fundamental function. In this article, we will talk about different types of loss functions in Machine Learning
Loss is one of the most important functions in Deep Learning; therefore, it deserves an in-depth explanation.
While there are many resources to learn online, sometimes nothing hits as good as a well-written book. Let’s see the best books to learn Machine Learning for beginners.
BigScience is an open science Language Model trained on 1.5 TB of text data in 46 languages. But how has such a large and diverse dataset been built?