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
|
---|