Subham TewariSep 45 minBest Image Datasets for Machine Learning and Data Science (ML002)In this post I will be discussing about Machine learning datasets in particular. Some people might start with algorithms in the beginning...

Subham TewariSep 33 minWhy we need to know about Machine Learning? (ML001)This is the first post in my Machine learning series. We will covering a lot of important portions in Machine learning series which will ...

Subham TewariMay 293 minGetting started with Generative Adversarial Networks(GANs)Deep learning algorithms have come a long way in the last few decades which is due to the powerful processors and abundance of data. Disc...

Subham TewariMay 275 minSiamese Neural Network for One-shot Image recognitionSiamese Neural Network is a special type of neural network in first we train an image with a sequence of convolutional layers.

Subham TewariMay 274 minCan Convolutional Neural Networks(CNNs) become the next big thing in AI?From building a face detection system to a self-driving car, all these applications use Convolutional Neural Network as the base model.

Subham TewariMay 263 minSqueeze-Net — Model size of 0.5MB, and accuracy same as AlexNetSqueezeNet achieves AlexNet-level accuracy on ImageNet with50x fewer parameters.

Subham TewariMay 263 minImplementing a self driving car model using deep learning and computer visionIntroduction Self-driving cars mark the biggest change in the automotive industry in the last decade. All the major car companies are inv...

Subham TewariMay 262 minHands-on with Tensorflow 2.0 - Part IIn 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.

Subham TewariMay 254 minCNN Architecture Series — Hands on with AlexNet(Part II)Welcome to the 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 d...

Subham TewariMay 254 minCNN Architecture Series — Hands on with VGG-16(Part-I)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