Deep Learning – Sequence-to-Sequence Model

In this part of the Deep Learning series, we will introduce the concept of the Sequence-to-Sequence (also known as the Encoder-Decoder) model in the context of a Language Translation use-case. In addition, we will get our hands dirty to demonstrate the translation of English sentences to Spanish sentences. To accomplish this task, we will implement an GRU model using PyTorch.

Here is the link to the article on Deep Learning demonstrating the English-to-Spanish Language Translation using GRU:

Deep Learning – Sequence-to-Sequence Model

Enjoy 🙂 !!!

Hands-On with Milvus Vector Database

In this article, we will explain a high-level overview of the Milvus Vector Database, explain the architectural components of the Milvus Vector Database, install and setup the required software, and finally get our hands dirty with a simple yet powerful search example.

Here is the link to the article on Milvus Vector Database:

Hands-On with Milvus Vector Database

Enjoy 🙂 !!!

Deep Learning – Predict Next Word Using LSTM

In this part of the Deep Learning series, we will get our hands dirty to demonstrate the prediction of the ‘Next Word’, given an input sequence of two words from a text corpus. To accomplish this task, we will implement an LSTM model using PyTorch.

Here is the link to the article on Deep Learning demonstrating the ‘next word’ prediction using LSTM:

Deep Learning – Predict Next Word Using LSTM

Enjoy 🙂 !!!

Deep Learning – Bidirectional Recurrent Neural Network

In this part of the Deep Learning series, we will explain how a Bidirectional Recurrent Neural Network (RNN) works and use PyTorch for a practical demonstration of Bidirectional RNN to predict the Sentiments of the Restaurant Reviews.

Here is the link to the article on Deep Learning using Bidirectional RNN:

Deep Learning – Bidirectional Recurrent Neural Network

Enjoy 🙂 !!!

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 🙂 !!!