autoencodersandGenerativeAdversarialNetworks(GANs)togenerateimages.Asyoudelveintonewlyevolvedarea最新章节 【正版无广】Leave a review - let other readers know what you think 2021-07-02 14:31:45 Other Books You May Enjo
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challen...
目前在某企业从事人工智能相关的研究和开发工作。著有“鱼书”系列《深度学习入门:基于Python的理论与实现》《深度学习进阶:自然语言处理》《深度学习入门2:自制框架》,同时也是Python in Practice、The Elements of Computing Systems、Building MachineLearning Systems with Python的日文版译者。
ThisbookisforDataSciencepractitionersaswellasaspirantswhohaveabasicfoundationalunderstandingofMachineLearningconceptsandsomeprogrammingexperiencewithPython.Amathematicalbackgroundwithaconceptualunderstandingofcalculusandstatisticsisalsodesired. 加入书架 开始阅读 手机扫码读本书 ...
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autoencodersandGenerativeAdversarialNetworks(GANs)togenerateimages.Asyoudelveintonewlyevolvedareasofreinforcementlearning,you’llgainanunderstandingofstate-of-the-artalgorithmsthatarethemaincomponentsbehindpopulargamesGo,Atari,andDota.Bytheendofthebook,youwillbewell-versedwiththetheoryofdeeplearningalongwithitsreal-...
中文翻译Deep Learning Book 更新v0.3 其他 https://github.com/exacity/deeplearningbook-chinese;感谢译者辛勤劳动! CreateAMind 2018/07/25 4130 《Deep Learning with Python》第一章 1.1 人工智能、机器学习和深度学习 人工智能机器学习数据处理python深度学习 第一章 什么是深度学习?本章涉及的知识点:基本概...
本书由Keras之父、现任Google人工智能研究员的François Chollet执笔,详尽展示了用Python、Keras、TensorFlow进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。在学习完本书后,读者将了解深度学习、机器学习和神经网络的关键概念,具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能...
PyTorch是由Facebook的人工智能研究部门创建的,该部门旨在使模型开发过程简单、直接、动态,这样开发人员就不必担心在编译和执行模型之前声明对象。它基于Torch框架,是Python的扩展。 这本书面向数据科学家、自然语言处理工程师、人工智能解决方案开发人员、从事图形计算框架的现有从业人员以及图论研究人员。这本书主要讲解张量...
在jupyter notebook 中使用代码 imdb.load_data? 可以获取函数的帮助文件。1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Signature: imdb.load_data(path='imdb.npz', num_words=None, skip_top=0, maxlen=None, seed=113, start_char=1, oov_char=2, index_from...