While you can train simple neural networks with relatively small amounts of training data with TensorFlow ... model.summary(); const optimizer = tf.train.adam(params.learningRate); model.compile ...

Is TensorFlow ... Python function and handle all the derivative calculations on said functions. Finally, it has a JIT (Just-In-Time) component that takes your code and optimizes it for the XLA ...

These two sources are fed into a neural network using TensorFlow. You train the system by driving the vehicle manually through the course a few times and then let it drive itself. In the video ...