• Python programming skills are required.
  • Machine Learning Concept
  • Python for AI and ML
  • Machine Learning and Statistics

Target Audience

Deep Learning with Tensorflow Training is intended for people interested in pursuing a career as a Deep Learning Engineer or Data Scientist. It is perfect for people who are:

  • Developers who want to be “Data Scientists”
  • Analytics Managers are in charge of the team of analysts.
  • Business Analysts intrigued in Deep Learning Techniques
  • Analysts interested in Data Science techniques Information Architects interested in gaining skills in Predictive Analytics

FAQ – General Questions

Is this a live or recorded training session?

It is a virtual instructor-led interactive session that takes place at a set time when both you and the trainer check in. Will record the live session so that you can review and recap any missed sessions.

Watch our Demo Courses and Videos

Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more

Can I access these Deep Learning using Tensorflow Training live classes from anywhere?

Yes, because the live classes will be held online on the Zoom Platform, you can access them anywhere.

All you need is to participate in the Zoom sessions using a laptop or computer.

What if I miss any class? Will there be any other batch where I can join?

Not a problem. We will provide you with lifetime access to the recordings and reference files so that you may go over them and practice on your own.

Who are the instructors?

All of the instructors at EDUCBA are industry practitioners with at least 10-12 years of relevant IT experience. They are subject matter experts who EDUCBA has educated to provide participants with an amazing learning experience.

What are the goals of our TensorFlow Deep Learning Training?

You should be able to: 

  • Get acquainted with and trained on TensorFlow.
  • Understand the Single Layer and Multi-Layer Perceptron concepts by building them in Tensorflow.
  • Learn how the CNN algorithm works and how to identify images using the trained model.