Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
Recent advances in machine learning and computer vision techniques have significantly improved the accuracy and efficiency of livestock weight estimation, a critical factor in precision farming and ...
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