Flexible, Scalable, Open-Source Machine Learning Framework
Sub Category
- Other IT & Software
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Objectives
- Core TensorFlow concepts from setup to model building, enabling them to confidently create machine learning projects.
- Techniques for building CNNs and RNNs for image, language, and sequence data, equipping them to tackle various ML problems.
- Skills to deploy TensorFlow models to production, including scaling with distributed computing and deploying on mobile.
- Practical experience with real-world ML applications, building models for image recognition, sentiment analysis, and more.
Pre Requisites
- Basic programming knowledge, ideally in Python
- Understanding of fundamental math concepts like linear algebra and probability
- Familiarity with machine learning basics is helpful but not required
- A computer with internet access for installing TensorFlow and coding projects
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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