Fundamentals of Neural Networks
Build up your intuition of the fundamental building blocks of Neural Networks
Created by Yiqiao Yin
Explore the core ideas behind neural networks, including how they work and where they're used. You'll get a clear introduction to Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks, all without needing any prior coding experience.
Packt | Dec 2022 | 397 min
What You Will Learn
You'll start by building your intuition for how neural networks function, then dive into hands-on examples that show how these models are trained and used. Step-by-step explanations and code walkthroughs help you connect the math to real-world applications, making each concept easy to understand and apply.
Key Features
- Grasp the basics of neural networks and how they process information
- Understand forward and backward propagation for training models effectively
- Explore CNNs and RNNs to see how they handle images and sequences
Target Audience
Perfect for beginners interested in artificial intelligence and deep learning, especially those who want a practical introduction without needing programming experience. If you're curious about how neural networks power modern AI and want to build a strong foundation, you'll find this course a great fit.
