Machine Learning, Deep Learning, Neural Networks, Optimization Algorithms, Adam.
learning models usually have a strong complexity and come up with millions or even billions of trainable parameters. That is why it is essential in the modern era to use acceleration techniques to reduce training time. One of the most common algorithms performed during training is backpropagation