Deep learning is a branch of machine learning. In the information age, big data provides a broad world for deep learning. It is foreseeable that deep learning will maintain a strong momentum in the next few decades.

For students or people who want to change careers, what is the future career development direction if they want to study and develop in depth? There are mainly the following types

1) deep learning engineer. Mainly responsible for the research and development of algorithms and systems such as deep learning framework construction, machine learning and image processing, and supporting the company's research on related products in the field of deep learning.

2) R&D machine vision engineer. Mainly engaged in technical research and development and engineering landing in the field of image analysis and understanding, applying deep learning technology to specific fields such as face recognition, OCR, object detection, classification and segmentation. , build and optimize the deep learning model to improve the effect, performance and usability.

3) speech recognition engineer. Mainly responsible for the algorithm optimization of the core model of speech recognition, tracking the industry-leading speech recognition algorithm technology and promoting the research progress of speech recognition.

4) Autopilot engineer. Mainly responsible for the design and implementation of highly reliable autopilot software system, system optimization and maintenance, standardizing and refining software development according to the requirements of autopilot function, completing the construction of software development environment of computing platform, transplanting algorithms to designated hardware platform, and optimizing performance.

With the continuous development of deep learning, more and more work will be involved. In addition to the above development directions, there are many that are not listed one by one.