From the course: Deep Learning: Getting Started

Unlock the full course today

Join today to access over 24,700 courses taught by industry experts.

Reusing existing network architectures

Reusing existing network architectures

From the course: Deep Learning: Getting Started

Start my 1-month free trial Buy for my team

Reusing existing network architectures

“

- [Instructor] Having discussed the concepts of neural networks and how to train them from scratch, let's now discuss some practical aspects of building neural network models. How do we build neural networks for a use case? An interesting fact about neural networks is that most neural network implementations are not designed and built from scratch. Designing a neural network with the right number of layers and nodes is a tedious, iterative, and time consuming process. Fortunately, the neural network community is very active in sharing their work with the rest of the world. They shared their knowledge and experiments for the rest of the community to build upon. To begin with several papers are published on the architectures for neural networks that have been successfully implemented and proven. You can start off your neural network by implementing a related architecture and then fine tune it for your use case.…

Contents