Deep Learning Workshop
A 6-month, intensive, end-to-end training in Deep Neural Networks
|
The journey of a thousand miles begins with a single step: join this workshop to cultivate in-depth hand-on expertise in Data-science! |
|
Greetings! Register for the Deep Learning Workshop starting on Monday, September 20th!
This is a 6-month, in-depth training in deep neural networks. For details on the workshop, please visit:
Every Week's Schedule
Monday evenings are devoted to theory/lecture; the Wednesday evenings are devoted to guided labs. Sunday sessions are optional.
-
MONDAY, 7-10 PM Theory/lecture session (3 hours)
-
MONDAY Weekly Project released. A hands-on AI project based on the topic of the week, where the teaching assistants will provide technical help and support
-
WEDNESDAY, 7-10 PM Hands-on Guided Lab (3 hours)
-
THURSDAY MORNING Quiz will be released online, to review the theory and the practical aspects learned.
-
SUNDAY NOON (Optional) Guided reading of an important research paper in the field
-
SUNDAY, 2 PM (Optional) Review of the quiz; help with the AI projects
|
|
STARTS ON MONDAY, SEPTEMBER 20th at 7:00 PM
Occurs: Every Monday and Wednesday Evening from 7:00 PM to 10:00 PM Pacific Standard Time.
|
|
Venue
SupportVectors AI Lab
46540 Fremont Blvd, Suite 506
Fremont, CA 94538
|
|
Questions?
Contact us with your questions, and we would be happy to guide you:
Email: info@supportvectors.com
Phone: 1-855-LEARN-AI
You can also make an appointment to discuss your training and career goals:
|
Student Feedback
"Rating: 5/5 Support Vectors' "Machine Learning with R Introductory Course" offers a very thorough, intensive, and yet remarkably beginner friendly way for students of varying expertise to study Machine Learning. Asif Qamar, with his decades of experience in both Machine Learning and mathematics, masterfully teaches difficult and intricate topics in a way that students can easily understand complex real-world applications. Asif reaches this due to his inextinguishable passion for both the field and academia. He has created resources that are excellent for reference far beyond the scope of the class. There is very little doubt in that I would recommend Asif to a friend and will definitely be continuing on to the higher course." - Abel
"As a beginner, I did not know how and where to start learning "machine learning." I came across Dr. Asif's machine learning workshop. I am extremely happy that I took this workshop. It's an eye opener! I would not have this level of understanding without the class" - Pathak
"...really helped in understand the technical jargon in machine-learning books and documentation"
|
Clinic Hours for Personalized Help
As part of this workshop, you can schedule a direct 1-1 meeting with the instructors once a week to clarify your doubts, or help with the lab.
There is also facility for groups of students to study and discuss together.
Lifetime Access to Help
As a member of this workshop, you will be part of the perpetual discussion-group centered the topics covered.
So long after you have graduated, should you have a question or need a clarification, you can still out to us for help through the discussion-group.
|
|
Instructor: Asif Qamar
Asif has been an educator, teaching various subjects in Programming, Machine-Learning and Physics for the last 26 years.
He has taught at University of California, Berkeley extension, at the University of Illinois, Urbana-Champaign (UIUC), and Syracuse University. Besides this, he has given a large number of workshops, seminars and talks at technical workplaces.
He has been honored with various excellence in teaching awards, in the universities and technical workplaces
|
Additional Benefits
Each trainee has access to free help clinic hours with the instructor(by appointment), where you can get individualized help and technical guidance with the contents of the workshop.
While the training starts out as a Virtual classroom, for those in Silicon Valley there is a possibility of using the state of the art SupportVectors Training Labs in Fremont, CA. This will happen if the COVID-19 problem gets resolved with medical breakthroughs.
|
|
To ensure that you do get enrolled for the September 2021 batch, register early. The batch-size is limited to 30. |
|
|
|
|
|
|
|
