Finding the optimal architecture for your convolutional neural network (CNN) can be challenging and tedious. Experience, intuition, and trial and error are often the basis for architecture decisions. But going through every possible option is not the best use of your or anyone’s time and resources.
In this webinar, we’re taking a deep dive into the intricate but critical stage of selecting and designing CNNs. Join our CEO & Co-Founder, Yonatan Geifman, and VP Product, Nadav Cohen, to:
- Learn common challenges and considerations for neural network selection and optimization
- Discover tips and best practices for choosing the right deep learning model, increasing the chances of deployment success
- Find out a way to automate the process of designing the optimal CNN architecture for your use case
Watch it now!
To learn how you can leverage Deci’s AutoNAC engine to easily design accurate and fast model architecture please talk with Deci’s experts.
