Creating poorly written numeric digits using AutoEncoders and MNIST dataset. Demo website - LINK GitHub link - LINK Contents: Project aim...

Uncovering some of the black box algorithms in this chapter. Mainly we'll be talking about Linear Regression, Polynomial Regression,...

Python script to access Azure's Text-to-Speech cognitive API. Converts all sentences from a file to respective speech audios.

Turning our attention to Classification systems. Contents: Performance Measure for Classification Precision Recall F1 score...

Contents: Root mean square error vs Mean absolute error Few points on test set preparation Correlation Data cleaning caution Text and...

[1]Types of ML Systems. [2]Main Challenges of Machine Learning. [3]Testing and Validation.

In this post we will see how CTC Loss is efficiently calculated using Dynamic Programming. We do that by creating a 2D matrix, known as...

Its importance & where it is used: It is used for dealing with un-segmented sequence data. Such data is ubiquitous and it may not be...

Background: Recently, I had a situation where my trained model (TF) could not run on a platform because few nodes in the graph...

See how to correctly use batch normalization in TensorFlow using tf.nn.batch_normalization. User needs to properly update the values duri...

This is my first blog post. Ready to share the world what I learn everyday. Show love if you enjoy the posts. -Divakar