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