Understanding Transposed Convolution with Python example

25 mins read Transposed Convolutions is a revolutionary concept for applications like image segmentation, super-resolution, etc but sometimes it becomes a little trickier […]

Understanding GloVe embedding with Tensorflow implementation

9 mins read In this article, you will learn about GloVe, a very powerful word vector learning technique. This article will focus on […]

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 […]

A tutorial on TensorFlow 2 and Keras: From basics to deep neural networks

49 mins read Predictive modeling with deep learning is a skill that modern developers need to know. TensorFlow is the premier open-source deep […]

Understanding 1D, 2D, and 3D convolutional layers in deep neural networks

21 mins read In deep learning, convolutional layers have been major building blocks in many deep neural networks. The design was inspired by […]

Understanding Object Detection using YOLO with Python implementation

21 mins read Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]

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 […]