TensorFlow One-Hot Encoding | TensorFlow tf.one_hot() function | TensorFlow Beginner Tutorial
In this TensorFlow tutorial, you will learn about TensorFlow one-hot encoding method, which allows you to convert the given data into numerical values.
The tf.one_hot function in TensorFlow is used for one-hot encoding, a process that converts categorical integer indices into a binary matrix. It takes inputs such as indices, depth (number of unique categories), and optionally, on-value and off-value for the binary matrix. This function returns a tensor where each row corresponds to the one-hot encoded representation of an element in the input array. It's commonly used in machine learning to handle categorical data in models.
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