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Convolutional Neural Networks (CNNs)


So, why should a data scientist learn deep learning algorithms now? What do neural networks offer that traditional machine learning algorithms don’t?

The different types of neural networks in deep learning, such as convolutional neural networks (CNN), recurrent neural networks (RNN), artificial neural networks (ANN), etc. are changing the way we interact with the world. We have heard on ANN already on the first week. Next, we will see CNN and RNN in this activity.

These different types of neural networks are at the core of the deep learning revolution. Famous applications like unmanned aerial vehicles, self-driving cars, speech recognition, etc.

Prof. Lai will explain Convolutional Neural Networks(CNN) first. Convolutional Neural Networks is a fundamental neural network architecture and becomes more and more important in modern deep learning. He will talk about several important CNN architectures and current development in this field. Then, Prof. Lai will introduce ImageNet played an important role in CNN history.

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