Support Vector Machine, Machine Learning, Data Science, Deep Learning.
layers can potentially perform better, but it is also more computationally expensive to train and may be more prone to overfitting. Batch size: This determines the number of training examples used in each iteration of the training process. A larger batch size can lead to more stable gradients and