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TensorFlow-Examples: Learn Deep Learning

Name: TensorFlow-Examples: Learn Deep Learning
Author: aymericdamien

Startups get beginner-friendly tutorials with TensorFlow-Examples, suitable for founders new to machine learning.

43,742 stars14,700 forksJupyter NotebookQuality 8/10Updated 7/26/2024100% free · open source

What it does

TensorFlow-Examples provides beginner-friendly tutorials and examples for startups to get started with machine learning using TensorFlow

Install / run

git clone https://github.com/aymericdamien/TensorFlow-Examples.git

When to use it

•You're a non-technical founder who wants to learn the basics of machine learning
•You need to prototype a machine learning model quickly without extensive coding
•You're looking for example code to understand how TensorFlow works

Quick start

1Navigate to the cloned repository: `cd TensorFlow-Examples`
2Open the `README.md` file to see the list of available examples
3Run a specific example, such as the `mnist` example, using `python mnist/basic_mnist.py`
4Explore the `utils` directory for utility functions, such as data loading and visualization
5Use Jupyter Notebook to run and modify the examples in an interactive environment: `jupyter notebook`

Ready-to-paste prompt

Run the `mnist` example with a specific learning rate: `python mnist/basic_mnist.py --learning_rate 0.01`

Heads up: Make sure you have the correct version of TensorFlow installed, as some examples may not be compatible with the latest version; check the `README.md` for specific version requirements

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