👉 Goodfellow's is a type of neural network architecture used in deep learning for image classification tasks, particularly those involving images with high dimensions and complex structures. It was specifically designed for image classification problems that require large-scale data and computational resources. The architecture consists of two main components: the encoder-decoder block, which is responsible for encoding input images into a representation space, and the decoder, which decodes this representation back to output images. This approach has been highly effective in achieving high performance on
