Research and exploration for deep learning of artificial intelligence based on intelligent voice interaction in engineering experiment project guidance

With the deep exploration and application of AI deep learning in the field of education, deep learning is widely used and promoted especially in the experimental projects of engineering in colleges and universities so that many projects’ intelligent characteristics can be accurately described and simulated by machines. Nowadays, deep learning has been widely used in image, speech, natural language processing, CTR evaluation, big data feature extraction and so on. This paper discusses the exploration and application of deep learning based on intelligent voice interaction to solve the students’ repeated problems in the guidance of engineering laboratories through the solutions provided by machine itself. This could help to reduce the workload of teachers, make the experimental guidance more efficient and improve the learning effect of students more obviously.