Optimizers In Machine Learning And Deep Learning :

In some of my previous articles, I have told about the activation functions and loss functions used in machine learning and deep learning. I recommend you go through it once for a better understanding.

In this article, I will give you a brief introduction about the adaptor and its types and later I will try to write a detailed article on each type of adaptor.

Let's start…

Deep learning algorithms include optimization in many contexts. For example, when we try to enter models like PCA, it involves solving an optimization problem. We often use various optimizations to write proofs or design algorithms.

As most of us already know, how common it is to invest days or months on hundreds of machines to solve a single example of a neural network training problem. Since this problem is so important and sometimes so expensive, a special set of optimization techniques have been developed to solve it. This article presents some optimization techniques used in machine learning and intensive learning.

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