Master AI fundamentals and Neural Networks. Build image classifiers and more with Python, TensorFlow, and Keras from scr
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- Other IT & Software
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Objectives
- Understand the core concepts of neural networks, including neurons, layers, activation functions, and backpropagation.
- Build and train your first deep learning models for classification and regression using Python, TensorFlow, and Keras.
- Apply powerful techniques to real-world problems, such as building an image classifier to recognize objects in pictures.
- Evaluate your model's performance and learn fundamental strategies to improve accuracy and prevent overfitting.
Pre Requisites
- Basic Python Programming: You should be comfortable with variables, loops, functions, and data structures like lists and dictionaries. High School Level Math: A basic understanding of algebra is helpful. We'll explain the complex concepts from scratch! No Prior ML Experience Needed: This course is designed to take you from the very beginning of your AI journey. A Computer and Internet Access: All tools and software used in the course are free and accessible online (e.g., Google Colab).
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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