AI
Example 1 Model
When a model is trained, the data is divided into small sets (batches). Each batch is then fed to the model. Shuffling is important to prevent the model getting the same data over again. If using the same data twice, the
AI
When a model is trained, the data is divided into small sets (batches). Each batch is then fed to the model. Shuffling is important to prevent the model getting the same data over again. If using the same data twice, the