Deep Learning is a rapidly growing field that has the potential to revolutionize many industries. It is a subset of machine learning that uses neural networks to model and solve complex problems. As a beginner, it can be overwhelming to know where to start learning about this exciting field. In this article, we will provide a chronological list of resources to help you learn deep learning from a complete beginner to an advanced level.
Deep learning is a subfield of machine learning that uses deep neural networks to model and solve complex problems. It is inspired by the structure and function of the human brain and involves training multi-layered neural networks to recognize patterns and make predictions or decisions. The “deep” in deep learning refers to the many layers in these neural networks, which allow them to learn and represent increasingly abstract features of the data. This allows them to perform tasks such as image and speech recognition, natural language processing, and predictive modeling with a high level of accuracy. Deep learning has been used to achieve state-of-the-art performance in a wide range of applications, and has been instrumental in the development of self-driving cars, speech recognition systems, and many other technologies.
There are a few prerequisites that are helpful to have before diving into deep learning:
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