Deep Learning Tutorials

KV Subbaiah Setty

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• online classes: ML and DL guru

This repository contains notebooks and other files associated with my Deep Learning tutorials primarily using Keras PyTorch. , TensorFlow2.0

Installation Notes

This tutorial requries the following packages:

• Python version 3.5+
• numpy version 1.5 or later: http://www.numpy.org/
• scipy version 0.10 or later: http://www.scipy.org/
• matplotlib version 1.3 or later: http://matplotlib.org/
• scikit-learn version 0.14 or later: http://scikit-learn.org
• jupyter lab version 1.0 or later, with notebook support: https://jupyter.org/index.html
• seaborn version 0.5 or later: https://seaborn.pydata.org/
• pandas vesion 1.0.0 or later: https://pandas.pydata.org/
• XGBoost latest version: https://xgboost.readthedocs.io/en/latest/python/index.html
• TensorFlow version2.0 later: https://www.tensorflow.org/
• PyTorch version 1.0.0 or later version https://pytorch.org/
• Keras latest version : https://keras.io/

The easiest way to get these is to use the anaconda or miniconda environment manager. I suggest downloading and installing anaconda the easiest way, as most of the packages pre installed and you can start my tutorials immediatly.

Downloading the Tutorial Materials

I would highly recommend using GitHub Desktop if you are on Windows, not only for this tutorial, but for the general betterment of your life. Once GitHub Desktop is installed, you can clone the material in this tutorial by using the git address shown above or use the command line tool after installing just git:

git clone
git://github.com/KVSSetty/ML-DL-notebooks-on-Binder.git

If you can't or don't want to install any of the packages including python, anaconda and git. there is a link (button) below to directly reach the tutorial notebooks in your browser. Yes it is true run python code without installing python in your system. It is not Magic. Try it !

Binder Compatible DL and ML Notebooks

In this repository you will find few Machine Learning and Deep Learning tutorials written by me. And they are Binder compatible so you can use these interactive and reproduceible notebooks with the given binder link or Binder-Launch icon and use it without installing any other software including python and jupyter on your system. The only needed tool is a latest version Internet browser in your system..