Dive deep into the world of neural networks with our advanced Deep Learning Specialization. This comprehensive course covers everything from basic neural networks to cutting-edge architectures like transformers and attention mechanisms.
Master the techniques used by leading AI companies to build state-of-the-art models for computer vision, natural language processing, and more. This course includes extensive hands-on projects and real-world applications.
What You'll Learn
Deep neural network architectures and design
Convolutional Neural Networks for computer vision
Recurrent Neural Networks and LSTM networks
Transformer architectures and attention mechanisms
Transfer learning and fine-tuning techniques
Generative models and GANs
Advanced optimization and regularization methods
Deployment of deep learning models at scale
80 hours of content Advanced Level 5,430 students
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