The AI buddy

This article covers the best books that exist in Machine Learning today and we will be discussing the best book depending on the exposure.

Machine learning has reached the state of the art in many of it's computer vision applications be it Object Detection, Image...

This course involves latest technologies in deep learning, representative learning.

In this post I will be discussing about Machine learning datasets in particular. Some people might start with algorithms in the beginning...

eep learning algorithms have come a long way in the last few decades which is due to the powerful processors and abundance of data.

From building a face detection system to a self-driving car, all these applications use Convolutional Neural Network as the base model.

SqueezeNet achieves AlexNet-level accuracy on ImageNet with50x fewer parameters.

In Tensorflow 2.0, we say goodbye to tf.session(), and it has come with tf.keras API as a part of it. Moreover, it runs on eager mode.

Welcome to Part II of the CNN architecture series, I hope you liked Part I of this series which was based on VGG-16. Today, we will...

We will take a in-depth look at all the standard CNN architectures, let it be as simple as VGG-16 or as complex as Xception. In today’s worl