## TensorFlow Model Training Using GradientTape

TensorFlow is arguably the most popular library for deep learning. I wrote so many tutorials on TensorFlow before and still continuing. TensorFlow is very well organized and easy to use…

Support Vector Classifier

## Support Vector Machine Classification in Python -sklearn

Support vector machine is one of the oldest and till popular machine learning models. I wrote tutorials on more complex deep learning methods before but I should work on some…

## Introduction to GradientTape in TensorFlow

In TensorFlow we get everything ready for us. It takes care of the mathematical part for us. But to a lot of extent, we can take control of the mathematical…

## Basic Building Blocks of TensorFlow: Basic Operations with Tensors

As per Wikipedia, here is the definition of Tensors:  “In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects related to a…

Siamese Network in Tensorflow

## Implementation of a Siamese Network in Keras and TensorFlow

Neural Networks are great and very popular in AI/ML spaces, but they require too much data to train. For tasks like object detection, signature verification, voice verification, and prescription pills…

Apache Beam, Python

## ParDo and DoFn Implementation in Apache Beam in Details

I wrote a tutorial on some common transform functions in Apache Beam in a previous tutorial that covered map, filter, and combinePerKey(). This tutorial will be for ParDo transform which is nothing…

## Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model

TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On the other hand, it won’t be as great without the…

## Map, Filter, and CombinePerKey Transforms in Writing Apache Beam Pipelines with Examples

Apache Beam is getting popularity as the unified programming model for efficient and portable big data processing pipelines. It can deal with both batch and streaming data. That’s how the…

Polynomial Regression in Python

## A Detailed Tutorial on Polynomial Regression in Python, Overview, Implementation, and Overfitting

I have been writing tutorials on Machine learning, deep learning, data visualization, analysis, and statistics for some time. But I realized I didn’t write too much about some simple machine…

Mini VGG Network

## Complete Implementation of a Mini VGG Network for Image Recognition

VGG Network is the basis for one of the most popular image recognition techniques. It is worth learning because it opens a lot of avenues. You need to understand how…