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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 🙂 !!!
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 🙂 !!!
In this part of the Deep Learning series, we will explain how a Recurrent Neural Network (RNN) works and use PyTorch for a practical demonstration of RNN to predict the Sentiments of the Restaurant Reviews.
Here is the link to the article on Deep Learning using RNN:
Deep Learning – Recurrent Neural Network
Enjoy 🙂 !!!
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:
Here is the link to the Part-7 article on Deep Learning:
Introduction to Deep Learning – Part 7
Enjoy 🙂 !!!
In Part-6 of the Deep Learning series, we will continue our journey with the popular open source Deep Learning framework called PyTorch. In this part of the article, we will create, train, and evaluate a Non-Linear model.
Here is the link to the Part-6 article on Deep Learning:
Introduction to Deep Learning – Part 6
Enjoy 🙂 !!!
In Part-5 of the Deep Learning series, we will continue our journey with the popular open source Deep Learning framework called PyTorch to create our first Linear model.
Here is the link to the Part-5 article on Deep Learning:
Introduction to Deep Learning – Part 5
Enjoy 🙂 !!!
In Part-4 of the Deep Learning series, we will start to get our hands dirty with the popular open source Deep Learning framework called PyTorch.
Here is the link to the Part-4 article on Deep Learning:
Introduction to Deep Learning – Part 4
Enjoy 🙂 !!!
In Part-3 of the Deep Learning series, we will implementation our own version of a Perceptron and a Neural Network, to get a better grasp on the inner workings of a Neural Network.
Here is the link to the Part-3 article on Deep Learning:
Introduction to Deep Learning – Part 3
Enjoy 🙂 !!!
Document Similarity is the Natural Language Processing (NLP) process of determining if two documents belong to a similar category or topic.
In this article, we will get our hands dirty by performing Document Similarity using NLTK and Scikit-Learn on a simple data set.
Here is the link to the article on Document Similarity:
Document Similarity using NLTK and Scikit-Learn
Enjoy 🙂 !!!
Sentiment Analysis is the Natural Language Processing (NLP) process to determine if a customer opinion is positive or negative.
In this article, we will get our hands dirty by performing Sentiment Analysis using NLTK and Scikit-Learn on the Kaggle Restaurant Reviews data set.
Here is the link to the article on Sentiment Analysis:
Textual Sentiment Analysis using NLTK and Scikit-Learn
Enjoy 🙂 !!!