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Difference Between Sigmoid and Softmax functions? |
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Answer» The sigmoid function is USED for BINARY classification. The probabilities sum needs to be 1. Whereas, Softmax function is used for multi-classification. The probabilities sum will be 1. ConclusionThe above-listed questions are the basics of machine learning. Machine learning is advancing so fast hence new concepts will emerge. So to get up to date with that join communities, attend conferences, read research papers. By doing so you can CRACK any ML interview. Additional Resources Practice Coding Best Machine Learning Courses Best Data Science Courses Python Interview Questions AI MCQs Machine Learning Engineer: CAREER Guide Deep Learning Interview Machine Learning Engineer Salary Machine Learning VS Data Science Machine Learning Vs Deep Learning Difference Between Artificial Intelligence and Machine Learning |
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