Deep Learning – Word Embeddings with Word2Vec

In this part of the Deep Learning series, we will explain how the Word2Vec model works and creates the word embeddings for a corpus. We will then use the popular Python library called Gensim for a practical demonstration.

Here is the link to the article on Deep Learning that explains and demonstrates Word2Vec:

Deep Learning – Word Embeddings with Word2Vec

Enjoy 🙂 !!!

Deep Learning – Long Short Term Memory

In this part of the Deep Learning series, we will explain how a Long Short Term Memory (LSTM) network works and use PyTorch for a practical demonstration of LSTM to predict the Sentiments of the Restaurant Reviews.

Here is the link to the article on Deep Learning using LSTM:

Deep Learning – Long Short Term Memory

Enjoy 🙂 !!!

Introduction to Deep Learning – Part 7

In Part-7 of the Deep Learning series, we will end the journey on the popular open source Deep Learning framework called PyTorch. In this part of the article, we will cover the following topics:

    • Datasets and DataLoaders
    • Multi-class Classification
    • Saving and Loading a Model

Here is the link to the Part-7 article on Deep Learning:

Introduction to Deep Learning – Part 7

Enjoy 🙂 !!!