Convolutional Neural Networks

Intermediate Level
2 weeks at 10 hours a week
Flexible Schedule

Andrew Ng , Kian Katanforoosh , Younes Bensouda Mourri

Skills You’ll Gain

Image Analysis Artificial Neural Networks Deep Learning Data Processing Computer Vision Applied Machine Learning Algorithms PyTorch (Machine Learning Library) Tensorflow Artificial Intelligence

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There are 4 modules in this course

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.

Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.

Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!