| 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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