Python for Deep Learning - Build Neural Networks in Python - An Introduction to The Neural Network

The video tutorial explains the concept of neurons, both biological and artificial, and their role in neural networks. It covers the structure of neural networks, including nodes and synapses, and the importance of weights in determining the significance of inputs. The tutorial also discusses the functions within synapses, such as transfer and activation functions, and how neural networks learn by modifying weights using algorithms like gradient descent and backpropagation.

What happens when the weight of an input is zero in a neural network?

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Describe the process of gradient descent and its significance in neural networks.

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