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In this course, you will learn
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Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
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Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
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Build natural language processing systems using TensorFlow.
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Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
