Neural network models have reshaped modern machine learning, enabling machines to mimic human cognition by learning from data. Concepts like channels, encoding, tensor operations, and various neural network architectures (such as recurrent neural networks and generative adversarial networks) are central to how these models work. Here, we’ll walk through some foundational components, including tensors, encoding … Continue reading Understanding Neural Network Models: Concepts and Applications