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Learning-Tensorflow

This repo contains Jupyter Notebooks which I created while learning Tensorflow.

  • Lecture 1 is about the meaning and usage of Placeholders, Constants, Operations and Variables in Tensorflow.
  • Lecture 2 is about the usage of graphs in Tensorflow.
  • Lecture 3 is about the pre-made estimators, feature columns and input function in Tensorflow.
  • Lecture 4 is about the pre-made Deep Neural Network Classifiers in Tensorflow.
  • Lecture 5 is about the Custom Estimators in Tensorflow.
  • Lecture 6 is about the Convolutional Neural Networks and Creating a Custom Estimators for CNN.
  • Will continue...