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...

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
Lecture-1.ipynb		Lecture-1.ipynb
Lecture-2.ipynb		Lecture-2.ipynb
Lecture-3.ipynb		Lecture-3.ipynb
Lecture-4.ipynb		Lecture-4.ipynb
Lecture-5.ipynb		Lecture-5.ipynb
Lecture-6.ipynb		Lecture-6.ipynb
README.md		README.md

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