Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required Exercise

The video tutorial discusses the structure of a neural network where all layers except the output layer have linear activations. The output layer contains a single neuron with a sigmoid activation function. The tutorial explores whether such a model can still be considered a neural network, given the linear activations in the hidden layers. It also covers the variability in the number of neurons across different hidden layers.

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