《Deep Learning》由深度学习领域的三位先驱Yann LeCun、Yoshua Bengio和Geoffrey Hinton共同撰写，系统介绍了该领域的重要理论与实践进展。
Deep learning enables computational models with multiple processing layers to learn data representations at various levels of abstraction. These techniques have significantly advanced the state-of-the-art in areas such as speech recognition, visual object recognition, and object detection, as well as drug discovery and genomics. Deep learning identifies complex structures within large datasets by utilizing the backpropagation algorithm to guide how a machine should adjust its internal parameters for computing representations at each layer based on those from the previous layer. Convolutional neural networks have led to breakthroughs in processing images, video, speech, and audio data, while recurrent neural networks have been particularly effective with sequential data like text and speech.
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