AI Neural Networks - Practice Questions 2026

Udemy MOOC / Non-credit USD 29.99

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AI Neural Networks - Practice Questions 2026

About this course

This course, AI Neural Networks - Practice Questions 2026, is designed for those who want to solidify their understanding of neural networks through rigorous testing. You'll engage with challenging problems that simulate technical interviews and certification exams, allowing you to grasp the concepts deeply rather than just memorize formulas. The carefully structured modules will guide you from foundational principles to advanced architectures, such as Convolutional and Recurrent Neural Networks, and even modern techniques like Transformers.

What you'll learn

understand the history and fundamentals of neural networks
apply various loss functions and gradient descent variants
analyze advanced architectures like CNNs and RNNs
solve real-world problems and optimize neural networks

Skills you'll gain

transformers neural networks convolutional neural networks recurrent neural networks backpropagation activation functions loss functions gradient descent weights and biases attention mechanisms

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