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The simple answer to your question is "No" with a caveat. The caveat is that there are signs that your network is never going to perform well. For example, the epoch accuracy fails to improve or even consistently declines over the first several epochs, or the validation accuracy is flat or declining. It could be that the validation loss starts ...


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I don't think there is any rationale behind choosing 80/20 over 75/25 or others. But those are the numbers for rather small datasets. If your dataset is large enough (like hundreds of thousands of samples), you can even work with 98/1/1 percents for train/val/test as discussed by Andrew Ng in this video. Neural networks thrive with big data and it is always ...


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Does the ANN's training data include the proper output for every neuron? The short answer is: no (not usually or directly). The long answer is that you can train neural networks in different ways. There's supervised, unsupervised, reinforcement learning/training, or even other ways (e.g. online learning). The most common way of training neural networks is ...


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I am not sure if there really are contradicting opinions on this matter. CNNs, RNNs, LSTMs all have specific types of data they are good at predicting. Depth and width, or in general the size of the neural network mostly depends on the size of your dataset. You don't want to build a too large network that will overfit the available data, which can usually be ...


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I'd argue that the legality depends strongly on how you access the data, and that automating this may put you in breach of facebook/instagram's terms of use for their data. It's not that accessing a set of images wouldn't count as fair use, it's that automatically scraping them probably breaches the terms of service. The most likely consequence, though, is ...


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Under US copyright law, this is probably fair use ...but beware of memorization. You may run into more trouble if the AI outputs things very similar to the original work. Also, consult a lawyer to help you apply the law to your specific situation. This is just information on general legal principles, not any specific situation, and also I'm not a lawyer. ...


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Disclaimer that every attorney will give unless formally engaged: This does not constitute formal legal advice. This data was published with the expectation of public view Viewing that data is a form of utilization—taking in information which may be used to make a decision, or just as divertment (here consumption of entertainment media by humans.) If any ...


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We have deployed one project in the real world that uses offline RL algorithms. Evaluating the performance of a policy is indeed a very tricky problem. Unfortunately, most existing OPE method is not really matured enough for many practical problems, especially when evaluating relative complex tasks and policies. The final solution we use in the end is ...


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