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ehcastroh / intro_TENSORFLOW

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DATA-X: m410 - TensorFlow - Shallow Neural Networks; An Introduction to TensorFlow V.2. Tensorflow (TF) is an open-source library used for dataflow, differentiable programming, symbolic math, and machine learning applications such as deep learning neural networks. TF's flexible architecture allows for easy deployment across varied processing pla…

deep-learning tensorflow neural-networks tensorflow-tutorials tensor-flow data-x deep-learning-with-python uc-berkeley-engineering
  • Updated Jul 24, 2020
  • Python

ehcastroh / reg_clas_TF_LUDWIG

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DATA-X: m420 - Bread & Butter Deep Learning: Regression and Classification using TensorFlow v2 and Ludwig. This notebook covers advanced topics in machine learning. However, it does not require any prior knowledge in machine learning. The goal of this notebook is to teach a user how to deploy deep learning regression and classification models, u…

deep-learning regression classification ludwig tensorflow2 deep-learning-toolbox data-x deep-learning-with-python uc-berkeley-engineering
  • Updated Jul 22, 2020
  • Python

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