深度学习背后的数学
Deep learning is one of the most important pillars in machine learning models. It is based on artificial neural networks. Deep learning is extremely popular because of its rich applications in the areas of image recognition, speech recognition, natural language processing (NLP), bioinformatics, drug designing, and many more. Although there are rich and efficient libraries and packages are being offered by major tech companies on Deep Learning, which are ready to use with much background knowledge. Still, it is worth understanding the little but impressive mathematics behind these models, especially the rule that works inside artificial neural networks (ANNs). There are many ways to understand the working of ANNs but we will begin with a very basic example of data fitting which perfectly explains the working of neural networks.Deep
