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Introduction to JAX and its ecosystem of libraries.
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Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
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