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1TensorFlow basics
This guide provides a quick overview of TensorFlow basics. Each section of this doc is an overview of a larger topic—you can find links to full guides at the end of each section.
TensorFlow is an end-to-end platform for machine learning. It supports the following:
Multidimensional-array based numeric computation (similar to NumPy.)
GPU and distributed processing
Automatic differentiation
Model construction, training, and export
And more
2022-08-20
Convolutional Neural Network (CNN).zip
Convolutional Neural Network (CNN)
This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Because this tutorial uses the Keras Sequential API, creating and training your model will take just a few lines of code.
2022-08-19
神经网络的快速入门(tensorflow)
The best place to start is with the user-friendly Keras sequential API. Build models by plugging together building blocks. After these tutorials, read the Keras guide.
The Keras functional and subclassing APIs provide a define-by-run interface for customization and advanced research. Build your model, then write the forward and backward pass. Create custom layers, activations, and training loops.
2022-08-19
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