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Deep_learning_notebooks_using_tensorflow:-

USE COLAB TO VIEW THESE FILES :)

These notebooks are some practical deep learning Using tensorflow like :

  • Build and train neural networks using TensorFlow

  • Improve your network’s performance using convolutions as you train it to identify real-world images

  • Teach machines to understand, analyze, and respond to human speech with natural language processing systems

  • Process text, represent sentences as vectors, and train a model to create original poetry!

Open In Colab Chrome Extension

This is a simple chrome extension that, when clicked when viewing a Jupyter notebook on github, will open that notebook in Google Colab.

The extension simply provides a URL redirect: it reads the current URL and opens a new tab at http://colab.research.google.com/github/ with the user, repository, and notebook path.

Installing the Extension

The latest release of the extension can be installed from the Chrome Web Store.

Development Install

To install the extension directly from source:

  1. Clone this repository to your local disk.
  2. Open the Chrome browser, and navigate to chrome://extensions.
  3. Ensure that developer mode is enabled (see the switch in the upper-right).
  4. Click "Load Unpacked" and choose the location of the open_in_colab repository. You should see a little colab icon appear in your Chrome extensions icons in your browser bar.
  5. Navigate to a notebook on github (e.g. https://github.com/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb), and click the extension icon to open the notebook in Colab.

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I applied in these notebooks deep learning algorithms Using TensorFlow

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