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Tensorflow playground

License: MIT License

Jupyter Notebook 100.00%

intro-to-tensorflow's Introduction

Intro to Tensorflow

Here you can read about my first interaction with TensorFlow. More or less, it is my playground to learn more about the library.

Prerequisites

To run this project, you need Miniconda installed(please visit this link for quick installation instructions.)

Installation

To create an environment for this project use the following command:

conda create --name=IntroToTensorFlow python=3 anaconda

Activate your new environment:

source activate IntroToTensorFlow

And install TensorFlow:

conda install -c conda-forge tensorflow

Everything done, you can start Jupyter and start playing with it:

jupyter notebook

This will opens a browser with Jupyter on the current directory.

Installation for CarND TensorFlow Lab notebook

(https://github.com/udacity/CarND-TensorFlow-Lab)

To create an environment for this project use the following command:

conda env create -f environment.yml

After the environment is created, it needs to be activated with the command:

source activate CarND-TensorFlow-Lab

and open the project's notebook CarND_TensorFlow_Lab.ipynb inside jupyter notebook:

jupyter notebook CarND_TensorFlow_Lab.ipynb

Installation for CarND LeNet Lab

(https://github.com/udacity/CarND-LeNet-Lab)

To create an environment for this project use the following command:

conda env create -f cardnd-term1-environment.yml

After the environment is created, it needs to be activated with the command:

source activate carnd-term1

to open the project's notebook LeNet-Lab.ipynb inside jupyter notebook:

jupyter notebook LeNet-Lab.ipynb

Tutorial links

intro-to-tensorflow's People

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