{"id":12911,"date":"2026-08-10T10:51:58","date_gmt":"2026-08-10T10:51:58","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-intro-to-neural-networks-deep-learning-2025-10\/"},"modified":"2026-08-10T10:51:58","modified_gmt":"2026-08-10T10:51:58","slug":"maven-analytics-intro-to-neural-networks-deep-learning-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-intro-to-neural-networks-deep-learning-2025-10\/","title":{"rendered":"Maven Analytics \u2013 Intro to Neural Networks & Deep Learning 2025-10"},"content":{"rendered":"
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Descriptions<\/h2>\n

Intro to Neural Networks & Deep Learning, Neural networks and deep learning are the foundation for modern Artificial Intelligence (AI), and key concepts for anyone curious about how tools like ChatGPT, image classifiers, or self-driving cars work. In this course, we\u2019ll break down what neural networks are by introducing simple building blocks like weights, biases, and activation functions. You\u2019ll learn how neural networks are structured using layers of interconnected nodes, and see how data flows through them to make predictions. From there, we\u2019ll walk through the full model training process, including forward passes, loss functions, backpropagation, and gradient descent. Each concept is explained visually and intuitively, with just enough math to understand what\u2019s happening under the hood.<\/p>\n

Then, we\u2019ll extend these ideas into the world of deep learning, introducing popular architectures like CNNs, RNNs, LSTMs, and Transformers, and showing how they\u2019re used in real-world applications across computer vision and natural language processing (NLP). If you\u2019re looking for a visual, no-code introduction to neural networks and deep learning, this is the course for you.<\/p>\n

What you\u2019ll learn<\/h3>\n