Скачать или смотреть Epoch, Batch Size and Learning Rate

An epoch represents one full pass of the entire training dataset through the AI model, Similar to how humans practice a skill multiple times ti improve bit by bit

Due to memory and computational limitations, it is often impossible to feed an entire dataset into a model at one shot, training dataset is broken down into smaller groups called batches, so if a dataset has 80 images and the batch size is set to 16, the model will complete five iterations to finish a single epoch

Learning rate determines the size of the steps taken when updating the model's weights, high learning rate forces the model to learn much faster by making large updates

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