Deep learning, neural networks, CNN, RNN, Transformer, PyTorch, TensorFlow, generative AI, reinforcement learning
Sub Category
- IT Certifications
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Objectives
- Understand neural network architectures (CNN, RNN, Transformer) and their applications
- Master optimization techniques, regularization, and training strategies for deep learning models
- Apply PyTorch and TensorFlow/Keras frameworks in practical deep learning workflows
- Analyze the mathematical foundations of deep learning and classical machine learning
Pre Requisites
- Basic Python or machine learning familiarity is helpful but not required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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