Deep Learning: Progress-saving, UE4 integration, and preparing for testing questions
After making a new network, I run it with the training data. The weights have updated permanently, right? WRONG! If I run it again, I get pretty much the exact same results, 0 improvement. How do I keep my progress after training? Let's say I've saved progress, my network has improved. How do I deploy it to a gam? How do I put Python code into C++ code for a UE4 game, and how do I integrate it into say a bot? My CNN/Q-Learning hybrid trains on visuals from other games to predict the best next move. If I were to somehow insert it into my code and run it, it has the training code with the training datasets. Do I have to redo the code for testing? Wouldn't that again lose all my progress? My current QLCNN is made for a person to monitor it, since it outputs loss and charts and other sorts of data. Is the main code similar to a header file in C++ or Java where I have to make another file that actually runs it?
optimization deep-learning integration
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After making a new network, I run it with the training data. The weights have updated permanently, right? WRONG! If I run it again, I get pretty much the exact same results, 0 improvement. How do I keep my progress after training? Let's say I've saved progress, my network has improved. How do I deploy it to a gam? How do I put Python code into C++ code for a UE4 game, and how do I integrate it into say a bot? My CNN/Q-Learning hybrid trains on visuals from other games to predict the best next move. If I were to somehow insert it into my code and run it, it has the training code with the training datasets. Do I have to redo the code for testing? Wouldn't that again lose all my progress? My current QLCNN is made for a person to monitor it, since it outputs loss and charts and other sorts of data. Is the main code similar to a header file in C++ or Java where I have to make another file that actually runs it?
optimization deep-learning integration
add a comment |
After making a new network, I run it with the training data. The weights have updated permanently, right? WRONG! If I run it again, I get pretty much the exact same results, 0 improvement. How do I keep my progress after training? Let's say I've saved progress, my network has improved. How do I deploy it to a gam? How do I put Python code into C++ code for a UE4 game, and how do I integrate it into say a bot? My CNN/Q-Learning hybrid trains on visuals from other games to predict the best next move. If I were to somehow insert it into my code and run it, it has the training code with the training datasets. Do I have to redo the code for testing? Wouldn't that again lose all my progress? My current QLCNN is made for a person to monitor it, since it outputs loss and charts and other sorts of data. Is the main code similar to a header file in C++ or Java where I have to make another file that actually runs it?
optimization deep-learning integration
After making a new network, I run it with the training data. The weights have updated permanently, right? WRONG! If I run it again, I get pretty much the exact same results, 0 improvement. How do I keep my progress after training? Let's say I've saved progress, my network has improved. How do I deploy it to a gam? How do I put Python code into C++ code for a UE4 game, and how do I integrate it into say a bot? My CNN/Q-Learning hybrid trains on visuals from other games to predict the best next move. If I were to somehow insert it into my code and run it, it has the training code with the training datasets. Do I have to redo the code for testing? Wouldn't that again lose all my progress? My current QLCNN is made for a person to monitor it, since it outputs loss and charts and other sorts of data. Is the main code similar to a header file in C++ or Java where I have to make another file that actually runs it?
optimization deep-learning integration
optimization deep-learning integration
edited Jan 3 at 1:30
braaterAfrikaaner
1,070517
1,070517
asked Jan 1 at 17:27
Rasmit DevkotaRasmit Devkota
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