CodingSplashforCodingSplashcodingsplash.hashnode.dev·Jul 27, 2024How to determine the number of trainable parameters in a fully connected neural networkIntroduction In neural networks, the number of trainable parameters (also called weights) is an important hyper‐ parameter for several reasons. Designing a very deep/dense network (i.e. a high number of weighs) can help you learn more complex models ...Deep LearningDeepLearningAdd a thoughtful commentNo comments yetBe the first to start the conversation.
