Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

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 ...

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

While it isn’t JavaScript, we did enjoy this Python TensorFlow tutorial. There’s also the very recent video from the TensorFlow Dev Summit, you can watch below.

TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry Pi, using Python 2.7, 3.4, or 3.5. Nvidia CUDA GPUs are supported on Linux and MacOS but not required.

At the start of May, I decided to get TensorFlow Developer Certified. So I set myself up with a curriculum to sharpen my skills and took the certification — turns out, I passed. Let me tell you ...

TensorFlow delivers a set of modules (providing for both Python and C/C++ APIs) that enable constructing and executing TensorFlow computations, which are then expressed in stateful data flow graphs.

At the same time, TensorFlow started to play better with standard Python infrastructure such as PyPI and pip, and with the NumPy package widely used by the scientific computing community.