Unpack the basics of neural networks, their architecture, and how they work. Learn about neurons, layers, weights, and activation functions, along with practical considerations for training neural networks in various computational tasks. Explore different types of architectures like CNNs, RNNs, and GANs, and understand their applications in image recognition, language processing, and more.
