Python* code samples, sensors, computer vision and more round our our September issue.
The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.
Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
This close call fleet driving reporter application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit and a compatible Intel® IoT Platform, cloud platforms, APIs, and other technologies.
This air quality monitor application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit and a compatible Intel® IoT Platform, cloud platforms, APIs, and other technologies.
Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
What is the worst part about playing a board game with a Python? You might think it was getting the snake to roll the dice since he doesn't have hands. Not even close. (The second worst problem for me was not using the phrase "Monopoly Python's Flying Circus" in the title.)