Spring 2019 Full Stack Deep Learning Bootcamp

Training the model is just one part of shipping a Deep Learning project. In this course, we teach the full stack of production Deep Learning:

• Formulating the problem and estimating project cost
• Finding, cleaning, labeling, and augmenting data 
• Picking the right framework and compute infrastructure
• Troubleshooting training and ensuring reproducibility
• Deploying the model at scale

Students will complete a project culminating in deploying a computer vision and natural language processing system into production. There is also an opportunity to test your knowledge and prepare for interviews with an optional written exam.