Basics of machine learning: two common activation functions. Check my comment to see more!

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When you’re first learning the basics of machine learning you’ll come across this:

Sigmoid and Softmax activations.

Both are helpful for classification type problems but their uses vary slightly!

Use sigmoid activation for binary classification problems like a simple sentiment analysis model detailing whether a movie is “good” or “bad” based on reviews.

Softmax is geared towards multiclass problems like the famous Iris dataset.

Let me know what other ml concepts I should discuss and follow for more machine learning content!

Phoenixbuildsthings