#73 Machine Learning & Data Science Challenge 73

UpdatedJanuary 28, 2023

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#73 Machine Learning & Data Science Challenge 73

Greetings.

I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.

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Why do we need Non-linear activation functions?

A neural network without activation functions is essentially a linear regression model. The activation functions do the non-linear transformation to the input, making it capable of learning and performing more complex tasks.

Identity
Binary Step
Sigmoid
Tanh
ReLU
Leaky ReLU
Softmax

The activation functions do the non-linear transformation to the input, making it capable of learning and performing more complex tasks.

#machine-learning #data-science #2articles1week #neural-network #hashnode

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Machine Learning & Data Science Interview Challenges

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Why do we need Non-linear activation functions?

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Machine Learning & Data Science Interview Challenges

#72 Machine Learning & Data Science Challenge 72

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