• Basics Of Machine Learning

Machine Learning: Basic Convolutional Neural Networks - Part A & B (Basic of convolution layers, Activation Functions and Pooling Layers) Object localisation and detection with FRCNN. Siamese (Basics of siamese networks, How to train siamese networks: Training and batching). GAN (Basics of GAN , Some GAN case studies:DCGAN, Conditional GAN, Pix2Pix,CycleGAN, SRGAN)

Average Rating


Top reviews

  • Course Fee ₹2450
  • Duration 120 mins
  • Chapters 1
  • Level High level
  • Students 15

Course notice


What you will learn from this course?

Computer Science