From the course: Neural Networks and Convolutional Neural Networks Essential Training

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Training the neural network model

Training the neural network model

From the course: Neural Networks and Convolutional Neural Networks Essential Training

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Training the neural network model

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- [Narrator] So now that we've complied our model, let's look at training it. So go to model.fit, and we look at the parameters that we need to specify. So, we need to provide the training models. We need to provide the number of epochs, which is the number of times the model goes through the training data. And we need to provide a parameter for the validation data. So, let's start start here with the training data. So, x_train, y_train, the number of epochs you want here is 20, and we want to specify that the validation data is going to be what we have in x_test and y_test. So now, we need to put that into a variable. So, let's call that history, and we run that cell. So, we can see that we have now completed training of our model and this is stored in the history object. We can see that the model is doing pretty well. And we can see for the validation data set that it has an accuracy of about 98.27%. In the next video, we will look at the accuracy of the model.

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