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