Wolfram
Neural Networks
Boot Camp
March 22–26, 2021 | Online
  • Neural Network Framework
  • Model Repository
  • Net Training
  • Net Surgery
  • Feature Extraction
  • Image Identification
  • Audio Classification
  • Natural Language Understanding

What You'll Learn

In this one-week online boot camp, you'll learn what neural networks are, how you can use pre-trained networks and how to build and train your own models. Explore ways that deep learning can be applied to text, image and audio analysis. All campers receive a certificate of boot camp completion. Campers who demonstrate proficiency with boot camp exercises will be awarded Wolfram Certification Level 1 in neural networks.


A Hands-on Introduction to Neural Networks

The high-performance neural net framework integrated in the Wolfram Language makes it easy to build networks from a wide variety of encoders, decoders and other symbolic layers. These networks can be immediately trained and deployed for use in different applications. All this can often be done with only a few lines of code, making deep learning accessible and approachable for new or existing Wolfram Language users and anyone wanting to learn about neural networks.

Neural Networks in the Wolfram Language »

Instructors

The Neural Net Framework Building Applications with the Wolfram Neural Net Repository Tuseeta Banerjee, PhD Machine Learning Research Scientist, Wolfram Research
Wolfram Notebook Basics Abrita Chakravarty Training & Development Specialist, Wolfram Research
Deep Learning for Understanding Audio Carlo Giacometti Sound & Vision Kernel Developer, Wolfram Research
Deep Learning for Text Analysis Jerome Louradour, PhD Machine Learning Consultant, Wolfram Research
Deep Learning for Image Computations Markus van Almsick Sound & Vision Consultant, Wolfram Research
Deep Learning for Text Analysis Timothee Verdier, PhD Machine Learning Consultant, Wolfram Research

Agenda

Tech mentors will be available throughout the camp for guidance and assistance.

Day 1

  • Wolfram Notebook Basics
  • The Neural Net Framework

Day 2

  • Deep Learning for Image Computations

Day 3

  • Deep Learning for Understanding Audio

Day 4

  • Deep Learning for Text Analysis

Day 5

  • Building Applications with the Wolfram Neural Net Repository

Typical Daily Schedule

Instructor office hours will be scheduled at various times.

10am–12:30pm (all times are US EDT)

Topic introductions and concept lectures

12:30–2:30pm

Break

2:30–5pm

Hands-on exercises and application of concepts and topics


FAQs

Who is the Wolfram Neural Networks Boot Camp for?

Anyone who wants to learn about deep learning—at any stage of their career or education.

What do I need in order to participate?

A computer, a reliable internet connection and the willingness to explore.

How much programming do I need to know before the boot camp?

None! The extreme automation of the Wolfram Language means it's easy for anyone to do high-level programming. The model repository includes a collection of pre-trained networks, so you can get started right away. If you have experience with the Wolfram Language, you'll be at an advantage. The first morning of the boot camp (optional for experienced users) will be devoted to introducing the basics of Wolfram Notebooks and the Wolfram neural net framework. If needed, there will be tutors available to provide hands-on help for getting started.

What math should I know for this boot camp?

Neural networks use concepts from calculus, linear algebra, statistics and probability theory. Some helpful resources are available at Wolfram U.

What will I come away with from the boot camp?

In addition to hands-on knowledge of neural networks, you'll know how to use trained and untrained models from the Wolfram Neural Net Repository and how to build and train your own models. All campers will receive a certificate of boot camp completion. Campers who demonstrate proficiency through boot camp exercises will become Wolfram Certified Level I in neural networks.

Can I bring proprietary data to the boot camp?

To optimize the peer learning experience, we suggest that data brought to the boot camp is something that can be shared with other attendees. However, special arrangements can be made, and our instructors will be operating under our standard corporate NDA.

How does the boot camp compare to the Wolfram Summer School?

While the Wolfram Summer School is a selective program for experienced Wolfram Language users who want to carry out original projects using Wolfram methodologies, the Neural Networks Boot Camp is intended for a broader audience and concentrates specifically on neural networks.

What if I need to miss a lecture or other session?

We understand that some participants may not be able to completely clear their schedules in order to attend every session. Recordings of lectures will be made available, with the expectation that campers will catch up by watching any missed sessions. Online instructor office hours will be scheduled as needed throughout the week.

How much does it cost?

The one-week program costs $1,000 for industry or commercial attendees, $500 for teachers or professors and $250 for students. Your boot camp registration includes lecture and exercise notebooks and 30-day access to Wolfram|One.

Where will the boot camp take place?

The boot camp will be held online.

What is the cancellation policy?

A full refund will be given for a cancellation made by March 1, 2021.