Keras - Python Deep Learning Neural Network API

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Learnable parameters ("trainable params") in a Keras Convolutional Neural Network

May 1, 2018 by


Let's discuss how we can quickly access and calculate the number of learnable parameters in a convolutional neural network (CNN) in code with Keras. We’ll also explore how these parameters may be affected by other optional configurations, like max pooling and zero padding. Follow deeplizard: YouTube: Twitter: Facebook: Steemit: Instagram: Pinterest: Support deeplizard on Patreon: Checkout products deeplizard suggests on Amazon: Support deeplizard by browsing with Brave: Support deeplizard with crypto: Bitcoin: 1AFgm3fLTiG5pNPgnfkKdsktgxLCMYpxCN Litecoin: LTZ2AUGpDmFm85y89PFFvVR5QmfX6Rfzg3 Ether: 0x9105cd0ecbc921ad19f6d5f9dd249735da8269ef Recommended books on AI: The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive: Life 3.0: Being Human in the Age of Artificial Intelligence Playlists: Data Science - Machine Learning - Keras - Music: Brittle Rille by Kevin MacLeod YouTube: Website: Licensed under Creative Commons: By Attribution 3.0 License