Understanding Word2vec embedding with Tensorflow implementation

15 mins read This article is going to be about Word2vec algorithms. Word2vec algorithms output word vectors. Word vectors, underpin many of the […]

Understanding the fundamentals of Deep Learning and Convolution Neural Networks with Keras codes

55 mins read Introduction Did you know the first neural network was discovered in the early 1950s? Deep Learning (DL) and Neural Network […]

Implementing LSTM Networks in Python with Keras

27 mins read A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because […]

How to reshape Input Data for Long Short-Term Memory (LSTM) Networks in Keras

9 mins read It can be difficult to understand how to prepare your sequence data for input to an LSTM model. Often there […]

A complete guide to understanding Long Short Term Memory (LSTM) Networks

36 mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]