Shypd.aiThe largest open index of AI toolstensorflow-eager-tutorials is an Open Source research & education tool that provides simple tutorials for building neural networks with TensorFlow Eager mode. It helps users get hands-on experience with deep learning, offering automatic differentiation for neural network construction.
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tensorflow-eager-tutorials is an open-source repository designed to provide simple tutorials for building neural networks using TensorFlow Eager mode. This resource is ideal for individuals looking to gain practical experience in deep learning, leveraging TensorFlow's Eager mode which simplifies neural network construction with automatic differentiation, similar to Numpy. The tutorials are structured to be accessible, often focusing on problems that do not require a GPU, making them suitable for a wider audience. It covers various topics from building simple feedforward networks and using metrics, to saving/restoring models, handling TFRecords for text and image data, and constructing convolutional and recurrent neural networks for tasks like emotion recognition and time series regression.
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