The vigorous development of deep neural networks has opened up new fields of machine learning research, and its various applications have gradually appeared in people's lives. Including speech recognition systems, face recognition systems, autonomous vehicles, machine translation, emotional analysis and product recommendation, natural language processing, and a variety of image labeling and classification systems.
In 2018, the ‘Turing Award’, known as the ‘Nobel Prize’ in the Computer Industry, was awarded to the deep learning masters Hinton, LeCun, and Bengio. It shows that artificial intelligence/deep learning has brought tremendous and far-reaching influence to the current scientific community. The theoretical contributions of the Turing Award in 2018 include Hinton's neural network back-propagation algorithm, LeCun's convolutional neural network concept and Bengio's word embedding model.
Now, you can complete the cutting-edge technologies of machine learning/deep learning in a series of courses offered by the Department of Applied Artificial Intelligence, MCU. The ‘Intelligent Network Communication’ group of MCU AAI offers a series of Artificial Intelligence/Machine Learning/Deep Learning related courses for students. Among them, the Machine Learning/Deep Learning courses offered by Professor Ming-Che Lee, at undergraduate/graduate levels, beginning from the perspective of supervised/unsupervised learning, will be a complete introduction from shallow learning to deep learning. And with the final project, students can have a complete understanding of the current popular deep learning frameworks and applications.
The course content includes:
Gradient Descent Algorithm
Neural network Architecture and Backpropagation Algorithm
Convolutional Neural Networks and Gradient Derivation
Recurrent Neural Network and Gradient Derivation
Word embedding and auto-encoder
Generative Adversarial Network
Deep neural network in Natural Language Processing, Image Recognition, and other applications