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https://github.com/tirthajyoti/tensorflow_basics

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
https://github.com/tirthajyoti/tensorflow_basics

classification colab-notebook colaboratory convolutional-neural-networks deep-learning google-cloud-platform keras keras-tensorflow machine-learning mnist neural-network recurrent-neural-networks regression tensorflow time-series

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Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

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# TensorFlow_Basics

* [Basic TensorFlow operations.](https://github.com/tirthajyoti/TensorFlow_Basics/blob/master/TensorFlow%20Basic%20syntax%20and%20constructs.ipynb)
* [Creating own opetration classes to mimic TensorFlow mechanics.](https://github.com/tirthajyoti/TensorFlow_Basics/blob/master/Manually%20building%20NN%20by%20defining%20Class%2C%20Graph%2C%20Operation.ipynb)
* Building simple single and multi-layer perceptrons using Numpy arrays and marices.
* Basic convolutional networks using TensorFlow
* Basic recurrent neural networks using TensorFlow
* Google colab Notebooks (based on the ***["Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning"](https://www.coursera.org/learn/introduction-tensorflow/home/info)*** course from [deeplearning.ai](https://www.deeplearning.ai/) on the **[fashion MNIST dataset](https://github.com/zalandoresearch/fashion-mnist)**