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Answer Posted / Mr.prateek Sachdeva
There are several types of activation functions used in deep learning, including: Sigmoid, Tanh (Hyperbolic Tangent), ReLU (Rectified Linear Unit), Leaky ReLU, Softmax, and Swish. Each activation function serves a unique purpose, such as introducing non-linearity to the model or improving convergence speed.
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