Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.

Examples of activation functions are ReLU, sigmoid, or tanh functions and they can transform the weighted sum of inputs into an artificial neural network.

Understanding how to use non-standard activation functions allows you to customize a neural network system. A neural network loosely models biological synapses and neurons. Neural network (NN) ...

Examples of activation functions are ReLU, sigmoid, or tanh functions and they can transform the weighted sum of inputs into an artificial neural network.