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Course Contents. Deep learning fundamentals in AI. How deep learning works. Cover popular models like CNN, RNN, LSTM, GAN and transfer learning. Development tools: Scikit-learn,Tensorflow and Keras. Different AI platforms and their APIs. Mobile AI applications (online) and Tensorflow Lite (offline) Speaker Profile.
Beginners can start with introductory classes covering machine learning, data analysis, and AI ethics. More experienced learners can earn certificates in tools like TensorFlow and Python. Certifications help showcase expertise in areas like natural language processing (NLP) and computer vision.
報名辦法. 學生須於每年2月至4月中透過所屬中學向教育局申請,詳情請向所屬中學查詢。. 付款方法. 課程費用由所屬中學及教育局全數資助。. 課程費用為港幣18,000,分兩期繳交。. 選擇上課模式二的中學將根據學校提供的埸地設施及學校老師參與授課的程度作 ...
Accept new applications for the Dec 2024 intake! There will be practical classes in the computer laboratory. Our professional lecturer will discuss deep learning algorithms (e.g., Convolutional Neural Networks, Recurrent Neural Networks, and Long Short Term Memory).
Introduction. The course will cover the theory and process of deep learning and its applications in various industries. Participants will experience the exciting development process of using various AI models/platforms/tools and API to build your own AI applications.
IBM AI Developer Professional Certificate. Kickstart your career in artificial intelligence. Build job-ready skills in AI technologies, generative AI models, and programming and learn to build AI-powered chatbots and apps in just 6 months. Instructors: IBM Skills Network Team. +10 more.
These courses and programs provide the foundational and advanced skills needed to accelerate your career in AI. Topics include machine learning, deep generative models, neural networks, and natural language processing and understanding.