AI News, Seedbank — discover machine learning examples

Seedbank — discover machine learning examples

Each example is a little seed to inspire you that you can edit, extend, and grow into your own projects and ideas, from data analysis problems to art projects.

Examples include the new getting started experience on tensorflow.org, Machine Learning Crash Course, research articles on distill.pub as well as an increasing number of tutorials on tensorflow.org such as machine translation.

TF Hub also provides a variety of pretrained machine learning modules ready for application which are often accompanied by Colab notebooks, exemplifying their use and making it easy to get going.

But the best part is that Colab lets you edit the notebooks, save copies to Google Drive, and share those derivatives with your friends or on social media — all the while you can keep using the Colab GPU for fast training and inference.

Learn and Improve your Machine Learning Skills with TensorFlow’s Free Seedbank Platform

Seedbank enables you to learn and discover various new machine learning examples and assists you in understanding and implementing your ideas.

The various learning categories Seedbank is offering include ‘classification’, ‘unsupervised learning’, ‘text and language’, ‘recurrent nets’, etc., comprising machine learning examples, tutorials and algorithms.

Apart from this, TensorFlow Hub provides numerous pretrained machine learning modules along with the Colaboratory notebooks (machine learning codes by Google).

After you select the Colab notebook, you’ll be connected to a free GPU kernel where you can start working through the example or tutorial.

At present, Seedbank is able to track only notebooks by Google though the team is planning to index user-created content in the near future.

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