Softmax Activation Function in Machine Learning
About this lesson
In this video, we discussed softmax activation function in machine learning. The softmax activation function is commonly used in machine learning, especially in the output layer of classification models where multiple classes are involved. It transforms the raw output scores (logits) from a neural network into probabilities that sum to 1. #machinelearning #neuralnetworks #deeplearning Software engineers like you join Outcome School to achieve the outcome that is a high-paying tech job. Join Outcome School and get a high-paying tech job: https://outcomeschool.com Founder of Outcome School: - Amit Shekhar About Amit Shekhar: Founder @ Outcome School • IIT 2010-14 • I have taught and mentored many developers, and their efforts landed them high-paying tech jobs, helped many tech companies in solving their unique problems, and created many open-source libraries being used by top companies. I am passionate about sharing knowledge through open-source, blogs, and videos. Connect with Amit Shekhar: - X: https://x.com/amitiitbhu - LinkedIn: https://www.linkedin.com/in/amit-shekhar-iitbhu - GitHub: https://github.com/amitshekhariitbhu - YouTube: https://www.youtube.com/@amitshekhar Follow Outcome School: - X: https://x.com/outcome_school - LinkedIn: https://www.linkedin.com/company/outcomeschool - YouTube: https://youtube.com/@OutcomeSchool - GitHub: https://github.com/OutcomeSchool
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