Whether you are Python Xiaobai, junior algorithm engineer, technical backbone, or even technical director, I suggest you don't miss our ai deep learning.
1)Python Xiaobai Quick Start
If you are about to find a job after graduation, or plan to switch to the Internet IT industry, we will provide you with an online course on getting started with Python, which can help you get started quickly without Python programming foundation. After that, the advanced version of AI Deep Learning can help you get a systematic introduction of cutting-edge technologies and application results of deep learning and help you get into the business quickly.
2) Practical Guide for Elementary algorithm engineer.
If you are a junior algorithm engineer who has just been in the business for less than three years and is still laying the foundation, AI deep learning will let you start with the actual operation of enterprise-level projects and gradually improve your ability. The course is taught by experts from the Chinese Academy of Sciences, and can be watched repeatedly, so that you can check and fill gaps anytime and anywhere, and it is more accurate than "Baidu" in the face of complex development environment.
3) Advanced cheats of technical backbones
If you are the technical backbone of the team, AI deep learning can help you systematically sort out cutting-edge technologies such as speech recognition, image recognition and machine dialogue, and build a complete technical system; It can also help you to expand your knowledge in related fields horizontally and enhance your competitiveness.
4) The technical director assists the management team.
If you are the top leader in pointing out technology, this course closely follows the market demand and can help you quickly grasp the market technology trends. Different students in the course exchange group can also let you know the real thoughts of people at each level, which is more convenient for management.
It is no exaggeration to say that as long as your work is related to artificial intelligence, "AI deep learning" will become an indispensable god assist in your job search, work and management team.
In order to make every student learn more knowledge in a shorter time, we condensed the course into 5 weeks and 30 class hours. Although the time is short, the content is more refined. AI deep learning is definitely the most perfect existence at present, whether it is six actual combat projects or the systematic or practical nature of the eight major course stages.
1)8 major teaching stages
Eight teaching stages, step by step, integrating theory with practice, to avoid an armchair strategist.
Only such an in-depth course can really help you quickly establish and sort out the relevant knowledge system and make your growth more directional and efficient. ?
The first stage: AI overview and introduction of cutting-edge application results
The second stage: the principle of neural network and the actual combat of TensorFlow.
The third stage: the principle of neural network and the actual combat of TensorFlow.
The fourth stage: the principle of generative confrontation network and the actual combat of the project
The fifth stage: deep learning distributed processing project actual combat
The sixth stage: in-depth reinforcement learning and project actual combat
The seventh stage: the actual combat of license plate recognition project
The eighth stage: introduction of cutting-edge technology of deep learning
2) The actual combat of six projects during the year.
Compared with similar courses on the market, most of them are limited to one kind of project training, and the number of projects is controlled at about three. "AI Deep Learning" has six practical projects, all of which come from the project practice of enterprises. During the study period, students can get rid of the idealized development of open source projects in the face of complex development environment, which is more in line with the real needs of enterprises.
The project includes six projects: handwritten numeral recognition, vectorization of text features of literary works, face image generation based on GAN, face image generation based on distributed GAN, maze game based on deep reinforcement learning, and enterprise license plate recognition.
Covering 75% of the technical points in the industry, such as speech recognition (WeChat speech to text, Siri, Tmall Elf, etc. ), image recognition (face recognition in railway station, face punching, face recognition in card handling, face recognition in health code, illegal shooting, Baidu map recognition, Taobao map recognition, audio picture book) and machine dialogue (Microsoft Xiao Bing, simultaneous translation, etc.) are all mastered to meet various employment needs.