State-of-the-art Image Processing across all domains

Ever thought of going beyond TensorFlow, GPU or TPU to solve your image classification problems?

From the standpoint of deep learning, the problem of image processing can be solved in a much better way with Transfer Learning. It is a computer vision method that helps develop accurate models while saving a lot of time. This video will help you find out why it is so beneficial?

Agenda -

  • The history of image processing
  • What is Transfer Learning?
  • Introduction to Convolutional Neural Networks (CNNs)
  • Different types of CNN architectures like AlexNet, VGG, Inception, and ResNet
  • Performance of various CNN architectures
  • Solving a medical image diagnosis problem with the above-discussed architectures

If this interests you, download now.

Presenters -


Shubham Goyal

Software Consultant at Knoldus Inc.

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