What is neural network training?
An example of an AI chatbot conversation about neural network training.
What is neural network training?
Neural network training is the process of teaching a neural network to recognize patterns in data.
How does the training process work?
It involves feeding the network data, adjusting weights based on errors, and iterating until performance improves.
What are some common algorithms used in training?
Common algorithms include backpropagation, stochastic gradient descent, and Adam optimizer.
How long does it usually take to train a neural network?
Training time varies widely based on data size, model complexity, and hardware, ranging from minutes to weeks.
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