AI - deep learning using TensorFlow

see also:

• artificial intelligence
• AI machine learning
• AI - Computer Vision
• AI deep learning
• Python language
• anaconda
• http://www.pytorch.org
• nvidia CUDA toolkit to install CUDA
• http://colab.research.google.com - to play with Python code online in a Jupyter notebook and combine text and code cells
• https://www.learnpytorch.io/
  • https://github.com/mrdbourke/pytorch-deep-learning
  • Youtube PyTorch Deep Learning course by freeCodeCamp.org
• Youtube: health data pre-processing in Python
• GPU vs CPU speed:
  • see https://horace.io/brrr_intro.html
• using TensorFlow:
  • Youtube: Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
• using Tensor2Tensor for transformer models

• TensorFlow was developed and released by Google Brain in Nov 2015
• The single biggest benefit TensorFlow provides for machine learning development is abstraction.
  • Instead of dealing with the nitty-gritty details of implementing algorithms, or figuring out proper ways to hitch the output of one function to the input of another, the developer can focus on the overall logic of the application. TensorFlow takes care of the details behind the scenes.

• see also:
  • AI - deep learning text data using TensorFlow and NLPM
  • AI - deep learning text data using TensorFlow and Long Short-Term Memory Network (LSTM)