3

The difference between the validation and test set in my opinion should be explained in this way: the validation set is meant to be used multiple times. the test set is meant to be used only once. I think that the misunderstanding here arise because machine learning is mostly taught focusing only on a specific part of a large pipeline, which is the model ...


1

Could you post the pseudocode of your backpropagation algorithm? I recommend you start off as simple as possible (this includes your cost f(x), I would simply use Yexpected-Youtput) and see if it works and then continue adding things. If it's your first time with neural networks, I recommend you check this link out and you could also try practising the ...


1

Simply stated, you use your validation set to regularize your model for unseen data. Test data is completely unseen data, on which you evaluate your model. Various validation strategies are used to improve your model to perform for unseen data. So strategies like k-fold cross-validation are used. Also, the validation set helps you in tuning your ...


1

Batch size and epochs are independent parameters - they serve very different purposes. Your main question as I understand it (and for general, non-library specific consumption) is what is an epoch and how is the data used for each epoch? Simply put, an epoch is a single iteration though the training data. Each and every sample from your training dataset ...


1

Full disclosure: I work at Dessa, the company that developed this tech. We built a machine learning experiment management tool, called Atlas. The main feature is experiment management, allowing you to run thousands of experiments concurrently. This might help with your problem above https://github.com/dessa-oss


1

What you are trying to achieve, is a game that learns to play flappy bird. For doing this you need a neural network AND a genetic algorithm, those two things work together. About your concerns on the output, you don't have to know if the action will benefit or not, i will soon explain why. The neural network part So, what you need is to know how to build a ...


Only top voted, non community-wiki answers of a minimum length are eligible