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In this course, you will learn :
- Using the PyTorch library, introduce the fundamental concepts of neural networks and deep learning.
- Discover how to train them using real-world datasets.
- introduce convolutional neural networks, learning how to train and use them to make predictions
- Learn how to use concepts like regularisation, batch-normalization, and transfer learning to make neural networks work well in practise.
Syllabus :
- Introduction to PyTorch
- Artificial Neural Networks
- Convolutional Neural Networks (CNNs)
- Using Convolutional Neural Networks
