Tensorflow 101

CVR College of Engineering - Hyderabad, India

This is an introductory level session. This session will cover implementation of Artificial Neural Networks , Convolutional Neural Networks using Tensorflow so that you could implement these in your respective solution challenge projects. We will also be looking at training Machine Learning models using the SKlearn library.

Mar 28, 2021, 11:30 AM – 1:30 PM

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About this event

The session will cover implementation of Artificial Neural Networks , Convolutional Neural Networks

using Tensorflow and we will also look at training Machine Learning models using the SKlearn library.

We will be looking at Kaggle datasets and then build our model based on the data.

This session will give you a hands on experience with the Tensorflow API.

Topics going to be covered in this session:
1) ANN implementation using Keras

        - Get a kaggle dataset(IRIS dataset)

        - Train an ANN

        - How to get inference


2) CNN implementation using Keras

        - Demo on MNIST(Hands on)

        - Train a CNN

        - Getting inference

        - Demo on data augmentation 


3) Decision Tree Regression/Classification (using SKlearn)

        - Random forest regresion/classification


Organizers

  • Shubh A Chudasama

    GDSC Lead

  • Deekshitha Gona

    Management Lead & AI/ML Core Team Member

  • Vikas Rushi

    Web Core Team Lead

  • Hitesh Lalwani

    Android Core Team Lead

  • sanjay sirangi

    Blockchain Core Team Lead

  • Samrath Reddy

    Cybersecurity Core Team Lead

  • Akshat Mohan

    CVR College of Engineering

    AI/ML Core Team Lead

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