- Artificial Intelligence
- Neural Network Framework
- Model Repository
- Machine Learning
- Training Neural Nets
- Feature Extraction
- Net Surgery
- Network Layers
- Image Identification
What You'll Learn
In this two-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 AI and deep learning can be applied to text, image and audio analysis. Participants receive a certificate of boot camp completion, and those who demonstrate proficiency with boot camp coding exercises will be awarded Wolfram Certification Level 1 in neural networks. Participants who demonstrate applied expertise in building and training their own neural network model project will earn Level 2 certification.
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 Wolfram Language »
Tech mentors will be available throughout the camp for guidance and assistance.
- Introduction to the Wolfram Technology Stack
- Neural Networks Overview
- The Neural Net Framework
- Convolutional Networks for Image Computations
- Deep Learning for Text Analysis
- Deep Learning Applications for Audio and Video Processing
- Tour of the Wolfram Neural Net Repository
- Building Applications with the Wolfram Neural Net Repository
- Automated Machine Learning in Wolfram Language
- State-of-the-Art Deep Learning Models: ChatGPT and DALL·E
- Panel Discussion and Sharing of Projects
Typical Daily Schedule
9–11:30am (all times are US CT)
Topic introductions, concept lectures, hands-on explorations
Topic introductions, concept lectures, hands-on explorations
Cost & Registration
The full registration standard rate for the two-week program is $2,000. A discounted rate of $1,000 is offered to educators, retirees, government and nonprofit employees and hobbyists. A student rate of $500 is offered with proof of student status. Your boot camp full registration includes links to all online lectures and exploration sessions; access to Wolfram staff, instructors and tech mentors via private chat channel, online breakout rooms and office hours; lecture and exercise notebooks and a 30-day license to Wolfram|One with full access to the latest version of Wolfram Language. Level 1 and Level 2 certification assessments are also included with your boot camp registration. Service plan subscribers and individuals using products through an organizational site license are eligible for a 15% discount.Register now
The guest pass costs $500 and includes links to online lectures and associated notebook materials without access to Wolfram staff or certification. The guest pass is a good option for anyone who has strong interest in the educational content of the boot camp but cannot commit to regular attendance or participation. Service plan subscribers and individuals using products through an organizational site license are eligible for a 15% discount.Order Guest Pass »
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?
You'll need a computer running the latest version of Wolfram Language, a reliable internet connection and the willingness to explore. A 30-day license to Wolfram|One will be provided upon request. Due to the online nature of this boot camp, please allow sufficient time to setup and test your webcam, audio settings and internet connection ahead of the start time. Watch your email inbox for your join links.
How much programming do I need to know before the boot camp?
Wolfram Language makes it easy for anyone to do high-level programming, and the model repository includes a collection of pre-trained networks, so you can get started right away. We will spend time introducing the Wolfram technology stack at the start of the boot camp, and tech mentors will be available to provide hands-on help for getting started, as needed. If you have experience with Wolfram Language, you'll be at an advantage.
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. Participants receive a certificate of boot camp completion, and those who demonstrate proficiency with boot camp coding exercises will be awarded Level 1 certification in neural networks. Participants who demonstrate applied expertise in building and training their own neural network models will earn Level 2 certification.
Can I bring proprietary data to the boot camp?
To optimize the peer learning experience, we suggest that data used during the boot camp be 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 other Wolfram educational programs?
The various Wolfram Summer School and Winter School programs are selective application-based programs for students who want to carry out original projects using Wolfram methodologies and contribute to ongoing research. The Neural Networks Boot Camp is is a self-selecting program that promotes individual professional development in the area of neural nets.
What if I need to miss a lecture?
The boot camp features a carefully curated collection of lectures, hands-on explorations and other special presentations to enhance learning. Many sessions are interactive by nature and must be attended in order to benefit. We understand that it might be unavoidable to miss a session at some point during the boot camp. Recordings of lectures will be made available, with the expectation that participants will catch up by watching any missed sessions.
Where will the boot camp take place?
The boot camp will be held online.
What is the registration deadline?
The registration deadline is December 22, 2023.
What is the cancellation policy?
A full refund will be given for a cancellation made by December 22, 2023.