| Description
| The goal of this course is to introduce latest deep learning researches and allow students to develop deep learning applications using Python library (TensorFlow & Keras). The content includes: Number recognition of License plate and Doorplate、Face Recognition 、1000 Image Classification 、9000 Object Detection、Autopilot simulation 、Embedded Deep Learning Algorithms 、Convolutional Neural Networks (CNN) 、Recurrent Neural Networks (RNN) 、Long-Short Term Memory (LSTM) 、Generative Adversarial Networks (GAN)、Deep Reinforcement Learning.
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