Why do we use activation functions in neural networks?
Activation functions introduce non-linearity into neural networks, allowing them to model complex data patterns. They determine whether a neuron should be activated based on the input, influencing the network’s learning process. Understanding the role of activation functions In aneural network, each neuron processes input data and produces an output. If we only relied on linear…