In this book, so far you have used vanilla neural networks, the networks that do not have the ability to remember their past. They accept a fixed-sized vector as input and produce a fixed-sized output. Consider the case of image classification where the input is an image and the output is one of the classes for which the model has been trained. Now, consider a situation where the prediction requires the knowledge of the previous predictions. To give you an example, consider you are watching a movie. Your mind keeps guessing what will be the next scene. The guess depends ...
© Poornachandra Sarang 2021
P. SarangArtificial Neural Networks with TensorFlow 2https://doi.org/10.1007/978-1-4842-6150-7_77. Text Generation
Poornachandra Sarang1
(1)
Mumbai, India
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