Udacity Udacity Juno Lee CS: Programming CS: Software Engineering USA Beginner Self-Paced Self-Study No Exam or Final Project No Certificate English We require some familiarity with the following programming ideas in any computer language (C++, Java, Python, English etc.): if sta...
Udacity cs344-Introduction to Parallel Programming笔记(超详细,CUDA,并行,GPU)---Unit 4,程序员大本营,技术文章内容聚合第一站。
3.P1L2: Introduction to Operating Systems 4.P2L1: Processes and Process Management (1/28/2018 - ) 5.P2L2: Threads and Concurrency 6.P2L3: Threads Case Study: PThreads 7.== Problem Set 1 == 8.P2L4: Thread Design Considerations 9.P2L5: Thread Performance Considerations 10.== Sample Mi...
编程:课程任务都提供Python示例代码,要求能阅读并基于示例代码进行修改和优化。课程中不会教NumPy,Matplotlib等。 硬件:如果能上Google的话,课程作业都通过Google Colab完成,无本机硬件配置要求。 机器学习的本质就是寻找一个函数function,来寻找一个输入input与输出output之间的映射关系。可以是输入一段语音,输出这段语音...
Ifyou want more control over the architecture of the network, you may prefer to use TensorFlowâs lower-level Python API. In this section we will build the same model as before using this API, and we will implement Mini-batch Gradient Descent to train it on the MNIST dataset. ...
There is also a series of CUDA Fortran posts mirroring the above, starting with An Easy Introduction to CUDA Fortran. You might also be interested in signing up for the online course on CUDA programming from Udacity and NVIDIA. There is a wealth of other content on CUDA C++ and other GPU...
Read Udacity’s blog post on front-end, back-end and full stack developers. Additional resources This section contains helpful links to related content. It isn’t required, so consider it supplemental. Quora: How can I Become a Really Good Web Developer? Quora: What makes a great web develo...
// CUDA Kernel function to add the elements of two arrays on the GPU__global__voidadd(intn,float*x,float*y){for(inti=0;i<n;i++)y[i]=x[i]+y[i];} 这些__global__函数被称为果仁,在 GPU 上运行的代码通常称为设备代码,而在 CPU 上运行的代码是主机代码。
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python HTML 1 SpamClassifier Public Naive Bayes theorem applying using sklearn for Spam classifier. Jupyter Notebook Mini-Batch-Gradient-Descent Public Implementing mini batch gradie...
Intro to Machine Learning with TensorFlow Nanodegree Program: https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230 - jv-k/IntroductionToMachineLearningWithTensorFlow