Description
In this course, you will :
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Understand the main concepts of machine learning and deep learning
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Install and use Python and Keras to build deep learning models
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Build, train, and run fully-connected, convolutional and recurrent neural networks
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Optimize deep neural networks through efficient hyper parameter searches
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See many real-world applications to identify which tasks can be leveraged with deep learning
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Work with any kind of data involving images, text, time series, sound and videos
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Use GPUs to leverage the training experience.
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Discover some advanced neural architectures such as generative adversarial networks