## 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…

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 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…

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…

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…

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…

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…

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…

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…

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…

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…