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

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