全书共7章,前三章包括复杂CNN、RNN和注意力机制网络,深入详解各类主流模型及其变体;第4章介绍这三类基础模型的组合体,即概率生成模型;第5章和第6章着重介绍这些复杂模型在计算机视觉和自然语言处理两大最常见领域的应用;第7章讲解生成式大语言模型的内在原理并对其发展趋势予以展望。 本书系统全面,深入浅出,且辅以生活中的案例进行类比,以此降低学习难度,能够帮助你迅速掌握深度学习的基础知识。
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