While you can train simple neural networks with relatively small amounts of training data with TensorFlow ... model.compile({ optimizer: optimizer, loss: 'categoricalCrossentropy', metrics ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

It is written in Python and supports multiple back-end neural network computation engines. Given that the TensorFlow ... and metrics), and predicting outputs from the trained model each take ...

Step 6: Integrate with your chatbot Use a programming language like Python to create a chatbot that sends input to the TensorFlow Serving model and receives the predicted output. Use a library ...