How can i solve the problem, of evaluating audio detection model on longer audios, if train audios were 1.1.sec duration?
I have been writing the Audio Detection model for my project in the university, and got some problem, the model was trained on 1.1 sec duration audios, and when evaluating the model with window-size approach for processing long audio, it does not give me good results, even considering that fact, that the testing accuracy of the model is pretty high, mostly 97%.
I don’t know why bots only put stones in the first row. ( using textbook Deep learning and the game of go)
I’m university student and I’m reading the Deep-learning and the Game of go and practicing it. I think I write all scripts exactly same but the result were not same as the result in the textbook. I don’t know why and where the error occurs. This is my board script. I think the error is in this script, maybe place_stones or apply_move but I can’t find any solution. Please help