Summary
Deep learning has become essential in many fields, from computer vision and natural language processing to healthcare and finance. This chapter has provided a brief introduction to the core concepts and techniques in deep learning. We talked about PyTorch, the fundamentals of deep learning, activation functions, and data imbalance challenges. We also got a bird’s-eye view of the various techniques we will discuss in the following few chapters.
Understanding these fundamentals will equip you with the knowledge necessary to explore more advanced topics and applications and ultimately contribute to the ever-evolving world of deep learning.
In the next chapter, we will look at data-level deep learning methods.
