Overview: MLOps keeps machine learning models stable, updated, and easy to manage.Python tools make every step of machine learning simpler and more reliable.MLO ...
Train neural networks to play video games, control AI agents and approach unsupervised learning problems using Python, Tensorflow and OpenAI Gym. The workshop is conceived to maximize the learning ...
JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...
The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library has been ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The big artificial intelligence (AI) news at Google I/O today is the ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...
Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title ...
Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...
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