244 - What are embedding layers in keras?

Code generated in the video can be downloaded from here: github.com/bnsreenu/python_for_microscopists Embedding layer... Maps each value in the input array to a vector of a defined size.​ The weights in this layer are learned during the training process.​ Initialization is performed (just like other keras layers).​ One-hot encoding is inefficient as most indices are zero. (e.g., Text with 1000 words means most of the elements are 0) ​ Integer encoding does not reflect the relationship between words. ​ Embedding allows for the representation of similar words with similar encoding.​ Values are learned (trainable).​

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