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In the second part of the course, we will dig into the exciting world of deep learning. We will cover the following topics:
How to structure a deep learning project
Deep Learning Architectures
Deep Learning Models
How to implement and train neural networks
Understanding Neural Networks: An elementary introduction
Convolutional Neural Networks
Recurrent Neural Networks
Transfer Learning
Building an SOTA classification model
Building an SOTA regression model
Building an SOTA imagedetection model
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