This Specialization equips learners with the practical skills to design, train, and deploy deep learning applications using TensorFlow. Across three project-based courses, learners will explore neural networks, image captioning systems, and real-time face mask detection. They will gain expertise in convolutional and recurrent models, transfer learning, and app deployment with Streamlit and AWS. By the end, learners will be able to create production-ready AI solutions that integrate seamlessly into modern applications, preparing them for careers in machine learning engineering and applied AI.
应用的学习项目
Learners will work on hands-on projects, including building neural networks for image classification, developing an image captioning app, and implementing a real-time face mask detection system. Each project bridges theory with real-world application, ensuring learners practice end-to-end development and deployment of AI solutions.
