The Math Behind Keras 3 Optimizers: Deep Understanding and Software | by Peng Qian | Aug, 2024
This can be a bit completely different from what the books say.
Optimizers are an important a part of everybody working in machine studying.
Everyone knows optimizers decide how the mannequin will converge the loss operate throughout gradient descent. Thus, utilizing the fitting optimizer can increase the efficiency and the effectivity of mannequin coaching.
Apart from basic papers, many books clarify the rules behind optimizers in easy phrases.
Nonetheless, I lately discovered that the efficiency of Keras 3 optimizers doesn’t fairly match the mathematical algorithms described in these books, which made me a bit anxious. I apprehensive about misunderstanding one thing or about updates within the newest model of Keras affecting the optimizers.
So, I reviewed the supply code of a number of frequent optimizers in Keras 3 and revisited their use circumstances. Now I wish to share this data to save lots of you time and enable you to grasp Keras 3 optimizers extra rapidly.
In case you’re not very conversant in the most recent adjustments in Keras 3, right here’s a fast rundown: Keras 3 integrates TensorFlow, PyTorch, and JAX, permitting us to make use of cutting-edge deep studying frameworks simply by means of Keras APIs.
