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TensorFlow Exercises

TensorFlow is arugably the most popular deep learning library as of 2017.

This is designed to help those who want to familiarize themselves with TensorFlow functions. Particulary, I focus on comparing TensorFlow functions with the equivalent functions in NumPy, the de facto standard numerical computation library. I hope this will help you get comfortable with TensorFlow quickly.

The basic outline will be as follows, though this is not 100% fixed.

  • Constants, Sequences, and Random Values (DONE)
  • Graphs (DONE)
  • Variables (DONE)
  • Reading Data (DONE)
  • Tensor Transformations (DONE)
  • Math Part 1 (DONE)
  • Math Part 2 (DONE)
  • Math Part 3 (DONE)
  • Strings (WIP)
  • Control Flow (DONE)
  • Images (WIP)
  • Sparse Tensors (DONE)
  • Neural Network Part 1 (DONE)
  • Neural Network Part 2 (DONE)
  • Neural Network Part 3 (WIP)
  • Seq2Seq (DONE)
  • Audio_Processing (DONE)

Enjoy!

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TensorFlow Exercises - focusing on the comparison with NumPy.

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