Machine Learning & Deep Learning Fundamentals

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Learnable Parameters in an Artificial Neural Network explained

April 23, 2018 by


Let's talk about learnable parameters within an artificial neural network. These parameters are also referred to as trainable parameters. As it turns out, we’ve already talked a lot about learnable parameters in a neural network, but we haven’t necessarily given the general topic a formal introduction. So, in this video we’ll first start out by defining what a learnable parameter within a neural network is. We’ll then see how the total number of learnable parameters within a network is calculated. After we see how this is done, we’ll illustrate the calculation using a simple neural network. Follow deeplizard: YouTube: Twitter: Facebook: Steemit: Instagram: Support deeplizard on Patreon: Checkout products deeplizard suggests on Amazon: 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: Machine Learning - Keras - Data Science - Music: Brittle Rille by Kevin MacLeod Spirit of the Girl by Kevin MacLeod Website: Licensed under Creative Commons: By Attribution 3.0 License