Understand and build Deep Learning models for images, text, sound and more using Python and Keras
What Will I Learn? To describe what Deep Learning is in a simple yet accurate way To explain how deep learning can be used to build predictive models To distinguish which practical applications can benefit from deep learning To install and use Python and Keras to build deep learning models To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data. To build, train and use fully connected, convolutional and recurrent neural networks To look at the internals of a deep learning model without intimidation and with the ability to tweak its parameters To train and run models in the cloud using a GPU To estimate training costs for large models To re-use pre-trained models to shortcut training time and cost (transfer learning)
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