It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...
What are some important engineering and design decisions you made in creating Keras? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with ...
As I discussed in my review of PyTorch, the foundational deep neural network (DNN) frameworks such as TensorFlow (Google) and CNTK (Microsoft) tend to be hard to use for model building. However, ...
Google has released TensorFlow Serving to the open-source community, a fresh addition to computer learning software for large-scale modeling projects. On Tuesday, Google Software engineer Noah Fiedel ...
At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...
Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is a ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google today announced TensorFlow Lite ...
Pretty much 100 percent of my generation is obsessed with Instagram. Unfortunately, I left the platform (sorry all) back in 2015. Simple reason, I am way too indecisive about which photos to post and ...
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