| Artificial Intelligence (AI) has been widely used in our daily life. It can not only improve human productivity but also enhance the value of human civilization. In the field of AI, the core technology is Deep Learning (DL), which extends from the basic concept of Machine Learning (ML) to the principle of Deep Neural Network (DNN). This technology, with the ability to automatically extract features, is now the popular research topic in the scientific and technological world. This course introduces the basic concepts of DL, mathematical model algorithms, and engineering implementation principles, and understands the key implementation techniques of DL with the TensorFlow Open Source Framework (OSF). The course experiment builds the TensorFlow development environment with streamlined codes and model description files to design a complete DNN. This course introduces the principles and practical aspects of: 1.) ML, DL and DNN, 2.) The features of TensorFlow and OSF installation, 3.) Implem |
