标签归档：CNN

Andrew Ng 深度学习公开课系列第五门课程序列模型开课

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Andrew Ng 深度学习课程系列第五门课程序列模型（Sequence Models）在1月的尾巴终于开课 ，在跳票了几次之后，这门和NLP比较相关的深度学习课程终于开课了。这门课程属于Coursera上的深度学习专项系列 ，这个系列有5门课，目前终于完备，感兴趣的同学可以关注：Deep Learning Specialization

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization.

这门课程主要面向自然语言，语音和其他序列数据进行深度学习建模，将会学习递归神经网络，GRU，LSTM等内容，以及如何将其应用到语音识别，机器翻译，自然语言理解等任务中去。个人认为这是目前互联网上最适合入门深度学习的系列系列课程了，Andrew Ng 老师善于讲课，另外用Python代码抽丝剥茧扣作业，课程学起来非常舒服，希望最后这门RNN课程也不负众望。参考我之前写得两篇小结：

Andrew Ng 深度学习课程小记

Andrew Ng (吴恩达) 深度学习课程小结

额外推荐: 深度学习课程资源整理

Andrew Ng 深度学习课程系列第四门课程卷积神经网络开课

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Andrew Ng 深度学习课程系列第四门课程卷积神经网络（Convolutional Neural Networks）将于11月6日开课 ，不过课程资料已经放出，现在注册课程已经可以听课了 ，这门课程属于Coursera上的深度学习专项系列 ，这个系列有5门课，前三门已经开过好几轮，但是第4、第5门课程一直处于待定状态，新的一轮将于11月7号开始，感兴趣的同学可以关注：Deep Learning Specialization

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization.

个人认为这是目前互联网上最适合入门深度学习的课程系列了，Andrew Ng 老师善于讲课，另外用Python代码抽丝剥茧扣作业，课程学起来非常舒服，参考我之前写得两篇小结：

Andrew Ng 深度学习课程小记

Andrew Ng (吴恩达) 深度学习课程小结

额外推荐: 深度学习课程资源整理