ocess used in back propagation neural networks. We focused mostly on the math required to pass the loss back to the input nodes so the weights could be adjusted, but we didn’t spend much time on the process from start to finish. Explain, in your own words, the process starting from initial weights, iterating through training sets with the forward pass and the back propagation process. You do not need to go into the math, but you should explain the concept of what the math is doing. Assume the data is normali
We briefly went over the process used in back propagation neural networks. We focused mostly on the math required to pass the loss back to the input nodes so the weights could be adjusted, but we didn’t spend much time on the process from start to finish. Explain, in your own words, the process starting from initial weights, iterating through training sets with the forward pass and the back propagation process. You do not need to go into the math, but you should explain the concept of what the math is doing. Assume the data is normalized and balanced.
Introduction: A neural network is a set of algorithms that attempts to recognise underlying relationships in a set of data using a process similar to how the human brain works. In this context, neural networks are systems of neurons that can be organic or artificial in nature.
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