If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python. [Oliver] gives links on how to do the ...

PyTorch allows for straightforward debugging using standard Python tools. TensorFlow’s graph-based structure can complicate debugging, but tools like TensorFlow Debugger aid in the process.

A key part of the TensorFlow ecosystem is the Keras API suite, which provides a set of Python language-based deep learning capabilities on top of the core TensorFlow technology.

Google has developed its second-generation tensor processor—four 45-teraflops chips packed onto a 180 TFLOPS tensor processor unit (TPU) module, to be used for machine learning and artificial ...