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

Overview

  • TensorFlow has launched an interactive in-browser platform called Seedbank
  • Seedbank includes tons of machine learning examples and algorithms, including classification, unsupervised learning, NLP and other tasks
  • The platform comes with free GPU support to train and run your models

 

Introduction

Understanding machine learning concepts and then putting them into practice can be a challenging task. When it comes to deep learning, that challenge goes to a whole new level. If you’re looking for a place to start applying these concepts, you’ve come to the right place!

In order to help individuals through this journey, TensorFlow has launched an interactive in-browser platform called Seedbank. Seedbank enables you to learn and discover various new machine learning examples and assists you in understanding and implementing your ideas. The best part about it is that you can use it in your browser without having to go through the complicated steps of setting up your system and downloading frameworks!

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).

With Seedbank, you can explore Colab-powered Machine Learning examples. You can play around with the code already provided, or extend it to implement your own ideas. It also allows you to filter your search by typing relevant keywords present inside the notebooks. With each search, you can look at the preview and decide if you wish to end your search or look further. 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.

 

Our take on this

This is awesome news for newcomers and amateur data scientists. It will help develop your already fledgling ML skills on pretrained models and tasks. The fact that you don’t need to install anything on your system and get free GPU support? It’s like hitting the jackpot!

It will simplify the problem and help in understanding various scenarios. You can also save copies to Google Drive and share your work with your friends or on social media . You can also read data from Google Drive which makes importing large datasets a snap. Get started NOW!

 

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