- Neural Network Framework
- Model Repository
- Net Training
- Net Surgery
- Feature Extraction
- Image Identification
- Audio Classification
- Natural Language Understanding
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.
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 »
Tech mentors will be available throughout the camp for guidance and assistance.
Instructor office hours will be scheduled at various times.
Topic introductions and concept lectures
Hands-on exercises and application of concepts and topics
Anyone who wants to learn about deep learning—at any stage of their career or education.
A computer, a reliable internet connection and the willingness to explore.
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.
Neural networks use concepts from calculus, linear algebra, statistics and probability theory. Some helpful resources are available at Wolfram U.
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.
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.
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.
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.
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.
The boot camp will be held online.
A full refund will be given for a cancellation made by March 1, 2021.