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神经网络与深度学习讲义20151211
- 讲解了神经网络原理和和机器学习有关知识，和入门学习所需要的数学基础知识(Explains the principles of neural networks and the basic knowledge required)
AI Bible(Deep Learning)
- 随后该书分为三部分，第一部分是应用数学和机器学习基础，当初步具有上述理论基础后，才算叩开深度学习的大门。第二部分是深层网络的现代实践。第三部分是深度学习的理论研究，适用于想要执果索因、深入学习神经网络内在原理的研究人员学习。(The book is divided into three parts, the first part is the application of mathematical and machine learning based. When initially with t
Deep Learning
- deep learning 书籍，此书包括机器学习基础，深度前馈网络，卷积网络，蒙特卡洛方法等的详细介绍(Deep learning books, which include a detailed introduction to machine learning, deep feedforward networks, convolution networks, Monte Carlo methods, and so on)
吴恩达深度学习基础教程
- 吴恩达博士是Google Brain项目的发起人和领导者，斯坦福大学的计算机科学教授，Coursera的联合创始人和联合主席。他还曾任百度的副总裁和首席科学家，(Dr. Wu Enda is the founder and leader of the Google Brain project, a professor of computer science at the Stanford University, co - founder and co - chair of the Courser
DeepLearningforPassiveSyntheticApertureRadar
- 通过大量的数值模拟，我们的深度学习为基础的方法优于传统的稀疏编码方法在计算方面和重建图像质量，特别是当没有对发射机的信息是可用的。(our deep learning based method is better than the traditional method in calculation and the quality of image reconstruction, especially when no information is available on the transmit
Python-Tensorflow-Face-master
- Python人脸识别实现，可以打开摄像头进行多人人脸识别，需要一定的深度学习基础(Python face recognition implementation, you can open the camera for multi person face recognition, you need a certain depth of learning foundation.)
5 机器学习基础
- 深度学习书内部代码，包括解释以及对书中原理代码实现(deep learning basic book flower Book internal code)