If you're diving into the world of deep learning or curious about how machines learn complex patterns, understanding Deep Belief Networks is a great place to start! A DBN is a type of generative neural network composed of multiple layers of Restricted Boltzmann Machines (RBMs). It’s designed to learn hierarchical representations of data — moving from low-level features to high-level concepts. 💡 Why DBNs matter: They were foundational in the rise of deep learning Capable of unsupervised pretraining, reducing the need for large labeled datasets Paved the way for more advanced architectures like Deep Neural Networks and Autoencoders

📺 Watch this short explainer video to learn how DBNs work:

👉 https://lnkd.in/dCtVf-AH