Mini Bootcamp: Neural Network - Magnimind Academy

Mini Bootcamp: Neural Network

Learn how to build, train and apply fully connected neural networks.

Start learning the Neural Network with outside of business hours schedule!
The 12 hours of schedule is as follows:
February 16 – 23 and March 1 – 8
Sundays, from 1:00 pm to 4:00 pm

The venue for the bootcamp is Magnimind Academy Sunnyvale Campus: 830 Stewart Dr #182, Sunnyvale, CA 94085. The capacity is limited to 20 people.

Neural Network Mini Bootcamp is now also available online. Anyone who wants to attend this mini bootcamp can join online live webinars where the same course content will be taught. Online sessions will be distributed through zoom conferences. Students will have access to the screen of the instructor, external camera showing class atmosphere, whiteboard, and be able to ask questions through chat. You may attend this mini bootcamp no matter where you are.

Tuition fee

Regular: $[woocommerce_regular_price id=”7239″]

Early Bird: $[woocommerce_price id=”7239″] (between [woocommerce_price_on_sale_from id=”7239″] – [woocommerce_price_on_sale_to id=”7239″])

Payment process

After you finish filling your application form, the website will direct you to the payment page. There, you can select available payment options.


If you’re not satisfied with the course you may cancel your application.

Murat Baday

Murat Baday is the co-founder and Chief Strategy Officer at Smartlens – a clinical-stage medical technology company that envisages the prevention of blindness due to Glaucoma. Dr. Baday obtained his Ph.D. in Computational Biology and Biophysics from the University of Illinois at Urbana-Champaign and his M.S. in Physics from the University of Pittsburgh.

Dr. Baday is also Research Scientist at Stanford University after five years postdoc at Bioengineering and Radiology departments. Dr. Baday is co-founder/advisor of several startups. He has studied computational particle physics at Cornell University. Dr. Baday has great expertise in several fields including in Machine learning, Deep Learning, Statistics, and Bioinformatics.