udacity coursera

[Developer benefits] The most comprehensive free material collection and material collection on mobile terminals In today's surging mobile design, mobile UI and UX designers have a long way to go. Clever women are hard to cook without rice. Good materials are the foundation of designers. The free materials collected on the mobile end are comprehensive, from teaching resources to UI Kit, from development tools to icon collection. Learning Resources UX Design for Mobile Developers The user experie

Learn 11 excellent Python Resources Python is one of the five most popular and easy-to-learn and powerful programming languages to learn Python, whether used for machine learning or web development Pinterest is a case study), Python is a powerful tool. In addition, not only is Python increasingly popular, but the salary of Python programmers is also surging. The average annual salary of Python programmers in North America is as high as 0.1 million USD. For developers who want to learn Python, t

contains tools that simplify the development of Android. First, Androidschedulers provides a scheduler for the threading system of Android. Need to run some code in the UI thread? Very simple, only need to use Androidschedulers.mainthread (). APP indexing for Google search (ladder required) (@ Beijing GDG)Google uses app indexing to index apps as if they were indexed for the site. A deep link to your Android app appears in Google search results, where users can quickly experience your native

Problem:When you run the sample program MNIST_CNN with Keras, the following error occurs: ' Keras.backend ' has no attribute ' Image_data_format 'Program Path https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.pyThe Python Conda environment used is the carnd-term1 of the Udacity autopilot courseFault Program segment:if ' Channels_first ' : = X_train.reshape (x_train.shape[0], 1, Img_rows, img_cols) = X_test.reshape (x_test.shape[0

Source: Udacity Programming Basics: Python Course 2Function: Every 30 minutes, open a specific webpage to remind the rest# Coding:utf-8ImportWebBrowserImportTimetotal_breaks= 3Break_count= 0Print "\ nstarted on: " +Time.ctime ()# time.ctime (): Current time (sec) whileBreak_countTotal_breaks:time.sleep ( - * -）# Time.sleep (): Sleep Time (sec), Min Print "\ nBreak time!\ t" +Time.ctime () WebBrowser.Open("https://cn.udacity.com/course/programming-

1. The complete course of statistics all of statistics Carnegie Kimelon Wosseman 2. Fourth edition, "Probability Theory and Mathematical Statistics" Morris. Heidegger, Morris H.degroot, and Mark. Schevish (Mark j.shervish) 3. Introduction to Linear algebra, Gilbert. Strong--Online video tutorials are classic 4. "Numerical linear algebra", Tracy Füssen. Lloyd and David. Bao Textbooks suitable for undergraduates 5. Predictive data analysis of machine learning Basics, John MIT. Kelleher and

~/cuda_visible_devices=0,1 python your.py# use gpu0,1 # Note that the word should not be wrong #或者在 program opening os.environ[' cuda_visible_devices '] = ' 0 ' #使用 GPU 0 os.environ[' cuda_visible_devices '] = ' 0,1 ' # using GPU 0,1 embedding_lookup () Use of Embedding_lookup ()About the use of Embedding_lookup () in TensorFlow, in Udacity Word2vec will be involved, this article will be popular to explain.Let's look at a simple demo: #!/usr/bin/e

From Udacity,intro to Hadoop, final Project. The topic says to want to know the length of the post has no relevance to the length of the answer Train of thought: Mapper filter out question and answer, output id,type (question, answer), length reducer statistics each ID corresponding question Len and answer Len # Mapper #!/usr/bin/python import SYS import CSV reader = Csv.reader (Sys.stdin, delimiter = "\ T") Next (reader, None) fo R line in

Objective:Learn two variable analysis flow by exploring file PSEUDO_FACEBOOK.TSV dataKnowledge Points:1.ggplot syntax2. How to make a scatter chart3. How to optimize scatter plots4. Condition mean value5. Correlation of variables6. Sub-hubs diagram7. SmoothingBrief introduction:If you are exploring a single variable using a histogram to represent the relationship between the value and the whole, then using a scatter plot is more appropriate to explore the relationship between the two variables w

From Udacity,intro to Hadoop, final Project.The topic requests, from the forum Post's structured data, discovers each user po pastes the most time. For example, user A at 8 points per day, po the most posts, the number marked as X so reducer output is a XTrain of thought: Mapper need to output author_id, reducer to each user to do a {Hour:count} statistics, the last output of the most count hour #mapper #!/usr/bin/python import sys import csv read

This question is one of the problems I encountered when I was learning udacity (a web-based course platform) to learn the Web Development course: The topic is probably to define a ROT13 function, and then convert the input letter to the corresponding 13 position of the letter, such as input hello, output should be urryb, the case is unchanged, the other symbols unchanged. Instinctively think of a corresponding two-tuple list to map: The zip used here,

is the first project of the Udacity course. The idea is to make a comparison of the size of Texas poker.First, you abstract a processing function, which gives the result based on the size of the return value. After we've defined how to compare the sizes of two or more hands, to make it easier to compare sizes, we first preprocess 5 cards and sort them in descending order, as follows: def card_ranks (hand): ranks = ['--23456789tjqka '. INDEX (R) f

Reprint please indicate the source: http://blog.csdn.net/cxsydjn/article/details/70991846 problem (from Udacity machine learning Engineer Nano Degree preview course) Use Python to implement the function Count_words (), which enters the string s and number n, and returns the most frequently occurring words in S. The return value is a tuple list that contains the highest number of n words and their number of occurrences, that is, [( You can assume that

deep learning with Python-theano tutorials Deep Learning Tutorials with Theano/python Learning take machine learning to the next level (by Udacity) Deeplearntoolbox–a Matlab Toolbox for deep learning Stanford matlab-based Deep Learning Stanford 231n Class convolutional neural Networks for Visual recognition Learning Course (by Yann LeCun-2016) Generative Models (by OpenAI) Introduction to Generative adversarial Networks (with code in TensorFlow) Imp

With the mobile design surging today, mobile UI and UX designers are a long way from the end. Paddle, good material is the designer's clout. This collection of mobile free footage covers everything from instructional resources to UI kits, from development tools to icon collections.Learning ResourcesUX Design for Mobile developersThe user experience design for mobile development is a course launched by Udacity, which teaches mobile apps to develop user

also need to share the environment to everyone, execute the following command can be in the current environment of the package information into the YAML file named environment. conda env export > environment.yaml Similarly, when you execute someone else's code, you also need to configure the appropriate environment. You can use the YAML file you share to create a touch-like environment. conda env create -f environment.yaml At this point, you have entered the gate of the Anaconda, you can roam i

, directly chew the boring books will only erase their interests. Above, hope to help you. If you decide to work in computer science in the future, I suggest you study scheme. Read SICP, the little schemer. These can make you understand why computing is a science, and writing code is not. Just as architecture is a science, and walls are not. If you just want to be a profitable yard farmer, learn everything the same. So many public classes casually pick a few to see, such as

, Windows, Linux, Mac OS can also, otherwise light Linux many versions, you can quarrel about a full page of content. Python version, Linux and MAC are the default installation (specific Python version of the difference), Windows simple installation can be, the question behind, in fact, is how to get started Python problem, as for the platform to learn programming good, this is a full page discussion topic. Go back to the real topic and tell me how I got started with Python, and hopefully it wil

Channel that describes browser warfare, network bubbles, and more. Teach Yourself Computer Science study How to Does CPU Execute program (VIDEO) Videos: How the CPU executes programs Machine code Instructions (VIDEO): Instructions Harvard cs50-asymptotic Notation (VIDEO) Videos: Harvard cs50-progressive notation Cracking The Code interview code interview hack guide Cracking the Coding interview-fullstack Speaker series Full stack Ask Me Anything:gayle Laakmann McDowell (author of Cracking The C

Python Keras module 'keras. backend' has no attribute 'image _ data_format ', keraskeras. backendProblem: When the sample program mnist_cnn is run using Keras, the following error occurs: 'keras. backend' has no attribute 'image _ data_format' Program path https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py The python conda environment used is the carnd-term1 of the udacity self-driving course Fault Section: if K.image_data_format() ==