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Deep neural networks are composed of multiple artificial neurons. At the core of those neurons are activation functions that define the output of the neurons. This video explains 10 types of activation functions and when and why each one is used. 👉 Xiperia offers business consulting that transforms data into actionable knowledge to achieve your business goals. Learn more at https://www.xiperia.com Gutiérrez-García, JO [Machine Code]. (2024, May 26). Neural Network Activation Functions: Sigmoid, ReLU, ELU, Hyperbolic Tangent, Softplus, and + [Video]. YouTube. [Include video URL here] ********************************************** To guide your learning, in this link ( • Artificial Intelligence (AI) Course... ) you will find a sequential guide to learn: 1. Basic Programming with Python; 2. Data Management; 3. Data Visualization; 4. Data Analysis; and 5. Machine Learning and Data Science. ********************************************** Video Index: 0:00 Introduction 0:35 What is an activation function 2:22 Step function 5:14 Linear function 8:02 Sigmoid function 13:30 Hyperbolic tangent function 14:36 Arctangent function 16:29 ReLU function 18:52 Leaky ReLU and parametric ReLU 21:16 ELU function 23:23 Softplus function ⭐ Support Machine Code by giving a Like, Commenting, Sharing or with a Super Thanks. ⭐ From the co-founder of Código Máquina, SINHAKI natural cosmetics products: https://www.amazon.com.mx/stores/sinH... #DeepLearning #DeepLearning #MachineLearning #IA #AI #ArtificialIntelligence #MachineLearning #MachineLearning