ஆற்காடு சுற்றுலா

 Windows 10 and MS Office 2020 Short cut keys CTRL+A. . . . . . . . . . . . . . . . . Select All CTRL+C. . . . . . . . . . . . . . . . . Copy CTRL+X. . . . . . . . . . . . . . . . . Cut CTRL+V. . . . . . . . . . . . . . . . . Paste CTRL+Z. . . . . . . . . . . . . . . . . Undo CTRL+B. . . . . . . . . . . . . . . . . Bold CTRL+U. . . . . . . . . . . . . . . . . Underline CTRL+I . . . . . . . . . . . . . . . . . Italic F1 . . . . . . . . . . . . . . . . . . . . . . Help F2 . . . . . . . . . . . . . . . . . . . . . Rename selected object F3 . . . . . . . . . . . . . . . . . . . . . Find all files F4 . . . . . . . . . . . . . . . . . . . . . Opens file list drop-down in dialogs F5 . . . . . . . . . . . . . . . . . . . . . Refresh current window F6 . . . . . . . . . . . . . . . . . . . . . Shifts focus in Windows Explorer F10 . . . . . . . . . . . . . . . . . . . . Activates menu bar options ALT+TAB . . . . . . . . . . . . . . . . Cycles between open applications ALT+F4 . . . . . . . . . . .

 Most Viewed Youtube videos in Past 1 day 1. Youtube Top Video Ranks by Viewers Kworb is the popular and most famous website like Alexa ranks the youtube videos. For example, today as of writing this article the most viewed youtube video is  Maluma Album    which is viewed my nearly 1 crore viewers in 1 day of posting.   2. Taaron Ke Shehar song This song reaches 16 crores Indian hearts, ranks number 1 video in India. Song is sung by Neha Nakkar and Sunnil Kaushal. Don't miss to watch this song on Youtube   Taaron Ke Shehar   3. Music for all Once upon a time to listen to this song We have to pay Rs. 100/- per album, that to available only in Metro cities. But bcoz of Video On Deman and Pay Per View model, now available in Indian towns also. I remember the days, we watched this new songs in Chitrahar, on Doordharshan II, Beta songs 'Tak Taku milnae Ragha...'  

Imagenet Dataset and Image Recognition   import  tensorflow  as  tf from  tensorflow  import  keras from  keras.models  import  Sequential from  keras.layers  import  Dense, Flatten, Conv2D, MaxPooling2D, Dropout from  tensorflow.keras  import  layers from  keras.utils  import  to_categorical import  numpy  as  np import  matplotlib.pyplot  as  plt plt.style.use( 'fivethirtyeight' )   from  keras.datasets  import  cifar10 (x_train, y_train),(x_test, y_test) = cifar10.load_data()   plt.imshow(x_train[ 0 ])   y_train_one_hot = to_categorical(y_train) y_test_one_hot = to_categorical(y_test) x_train = x_train/ 255 x_test = x_test/ 255   model = Sequential() model.add(Conv2D( 32 ,( 5 , 5 ),activation= 'relu' , input_shape=( 32 , 32 , 3 ))) model.add(MaxPooling2D(pool_size=( 2 , 2 ))) model.add(Conv2D( 32 ,( 5 , 5 ),activation= 'relu' )) model.add(MaxPooling2D(pool_size=( 2 , 2 ))) model.add(Flatten()) model.add(Dense( 1000 ,activation= 'relu' )) model.add(Dro

 70,000 MNIST Hand  Writing Recognition - Logistic Regression  from sklearn.datasets import fetch_openml mnist = fetch_openml('mnist_784') x,y = mnist['data'],mnist['target'] x,y = mnist['data'], mnist['target'] import  matplotlib.pyplot  as  plt some_digit = x_test[ 2813 ] some_digit_image = some_digit.reshape( 28 , 28 )   plt.imshow(some_digit_image)   x_train, x_test = x[: 60000 ], x[ 60000 :] y_train, y_test = y[: 60000 ], y[ 60000 :] import  numpy  as  np shuffle_index = np.random.permutation( 60000 ) x_train, y_train = x_train[shuffle_index], y_train[shuffle_index]     from  sklearn.linear_model  import  LogisticRegression clf = LogisticRegression() clf.fit(x_train, y_train)   some1 = x_test[ 2813 ] some1.reshape( 28 , 28 ) clf.predict([some1])    Colab Notebook Link:  MNIST Colab Notebook        

 

 Table of  Contents 1. MIT video resources 1.1. Youtube 1.2  Linked In 1.3 Facebook Video contents in the WWW are far far better and best, Text contents in the WWW ... But in the millions of billions of pages, how to find right information at right time... Deep Learn...how the Internet is graphed...Big Big picture of Internet... Kathir Illaigal provides Map of WWW called WebMap to find gene you are searching for in the DNA of World Wide Web. MIT - Alexandar Amini Youtube MIT LinkedIn Video WebMap  

 We salute Thanthai Periyar on his Birth Occasion. Thanthai Periyar, a rational quotes for Everyone of my supporters....  

      Happy Birthday எதையும் தாங்கும் இதயம் கடமை கண்ணியம் கட்டுப்பாடு

  /* Advanced Software Engineering Practices # Author: Er. K. Manigandan, Arcot. # Created: 31/3/2010 # Version: 1.0 # */ # Software Development Guidelines # # 1. When your mind is fresh and young will  easily solve any software problems. # 2. Visualize the given problem in hand  before writing software. # 3. Only those who understand the problem  will give solution to the problem. # 4. Abstraction plays a energetic role in  software design. # 5. Testing should be possible for your  abstraction. # 6. Anything and everything requires manual  interpretations which is filled by Verification  and Validation. # 7. Designing and Testing should go  hand-in-hand that is along with design  document test document is also be produced. # 8. For the design already available design  templates should be prefered than designing  from scratch. # 9. Testing should be automated by preparing  test script. # 10. First design should trade-off time and  space complexity. # 11. Design should be verified wit

 Table of Contents 1. Human Intelligence Vs Machine Learning and Artificial Intelligence 1.1 Example work from Jason Brown Lee 1.2. Building First neural network Model from Keras, Pytorch, Tensor Flow 2. Deep Learning 2.1 Unsupervised Learning no Human Intelligence 2.1 Human Face created or Synthesized Artificially 3. Web Resources  3.1 Text Resources d2l, Jawson Lee, Michael Nielson 3.2 Video Resources from IISC, MIT, Standford, TED   1. Human Intelligence Vs Machine Learning and Artificial Intelligence  Let us start with Diabetes Data, Here based on 8 blood/urine sample results, experienced doctor, classifies data as 1 or 0. Next year onset diabetes persons get '1' and no diabetes '0'. This data classification is purely done by Doctor for n-data-samples. A neural network in Keras(Machine Learning Framework Python) is modeled, this samples are given as training and network model learns intelligence from Doctor. Later when we give new data sample, without Doctor interve

 Table of Contents 1. Cloud for PaaS or IaaS - OpenShift, Heroku 2. Big Data for your Business Intelligence - Tableau, Spark 3. Artificial Intelligence/Machine Learning/Deep Learning  Keras, PyTorch, TensorFlow 1.Cloud for PaaS or IaaS - OpenShift, Heroku I explored three Cloud platform, Google Cloud, Redhat OpenShift Cloud and Heroku Cloud. I am able to host my desktop software and partly sucessfull with Daayam game able to run in different binary environment like mobile phones(Sony Ericcsson K320-Java, Karbonn A1-Android) and laptop(Browser Javascript - dayamdayam.herokuapp.com). J2ME programming source code, rewritten for  Android and Browser. And Daayam game as PHP web application now available at https://dayamdayam.herokuapp.com. My other Desktop softwares (Alavu and Udai) written in Java SDK should be rewritten for Javascript to host in Cloud and provide SaaS.  2. Big Data for your Business Intelligence Structured data stored in RDBMS are reported using SQL queries which is 4GL.

  Table of Contents 1. September 10, Divya Birthday       Happy Birthday Divya Sister 3. Happy Birthday Moorthy Sir, SNMS   4. Happy Birthday to Thiru. Vasanthan Karaikal