Deep Learning A-Z: Hands-On Artificial Neural Networks

80 Hrs. ₹ 50000 Start from 12-Oct-2020 Course timing: 7PM - 9PM

Course Summary

The Deep Learning A-Z: Hands-On Artificial Neural Networks Training aims to impart training on the essentials that helps in developing an understanding of intuition behind Artificial Neural Networks.

Through this Deep Learning A-Z: Hands-On Artificial Neural Networks training, you can pave your  way to become a data scientist.

This  training insights  the tools in improving the models with effective Parameter Tuning, processing the data and evaluating the performance of the models. Moreover, this training insight all on Robust Structure, Intuition Tutorials, Exciting Projects, Hands-on Coding and In-Course Support.

Pre-requisites

Good Knowledge of mathematics is preferred.

Outcome

Upon completion of this training , you will understand.

How to evaluate the performance of the models with the most relevant technique, k-Fold Cross Validation
Learn to pre-process the data, in order to learn the models in the most favorable condition
Learn how to Self-organize the maps in order to investigate the Fraud
Learn about the intuition behind Recurrent Neural Networks
Learn how to apply the Recurrent Neural Networks in practice
Learn about the intuition behind AutoEncoders
Learn how to apply the Artificial Neural Networks in practice
Learn how to apply the Boltzmann Machines in practice
Develop understanding of the intuition behind Self-Organizing Maps

Outline

  • Deep Learning A-Z: Hands-On Artificial Neural NetworksHands on labs and case studies
  • Fee

    Total fee

    ₹ 50000 /- (inclusive of all.)

    Book your seat

    Please enter your full name.
    Please valid email.
    Please enter your contact number.
    Please enter contact number.
    Please select course date.
    Please select course date.
    Invalid coupon code

    Get in touch

    Thank you!
    Your Enquiry submitted successfully
    Please enter your full name.
    Please enter your email.
    Please enter your contact number.
    Please enter your contact number.
    Please enter your message.