TensorFlow_Basics

Basic TensorFlow operations.
Creating own opetration classes to mimic TensorFlow mechanics.
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" course from deeplearning.ai on the fashion MNIST dataset

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
MNIST_digit		MNIST_digit
Recurrent_Networks		Recurrent_Networks
.gitignore		.gitignore
Callback_implementation_on_Fashion_MNIST.ipynb		Callback_implementation_on_Fashion_MNIST.ipynb
Copy_of_Colab1_for_deeplearn.ipynb		Copy_of_Colab1_for_deeplearn.ipynb
Fashion_MNIST_practice_with_Google_Colab.ipynb		Fashion_MNIST_practice_with_Google_Colab.ipynb
Fashion_MNIST_using_CNN.ipynb		Fashion_MNIST_using_CNN.ipynb
Function approximation by linear model and deep network.ipynb		Function approximation by linear model and deep network.ipynb
Horse_or_Human_with_ImageGenerator.ipynb		Horse_or_Human_with_ImageGenerator.ipynb
Introduction to Neural Networks.pdf		Introduction to Neural Networks.pdf
LICENSE		LICENSE
Manually building NN by defining Class, Graph, Operation.ipynb		Manually building NN by defining Class, Graph, Operation.ipynb
OOP_Practice.ipynb		OOP_Practice.ipynb
README.md		README.md
TF DNN classifier IRIS data.ipynb		TF DNN classifier IRIS data.ipynb
TF Estimator API Regression Example.ipynb		TF Estimator API Regression Example.ipynb
TF Regression hyperparameters.ipynb		TF Regression hyperparameters.ipynb
TF Train API with Linear Regression Example.ipynb		TF Train API with Linear Regression Example.ipynb
TensorFlow Basic syntax and constructs.ipynb		TensorFlow Basic syntax and constructs.ipynb
TensorFlow Basics.pdf		TensorFlow Basics.pdf

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