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Udemy - Build and train a data model to recognize objects in images!

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Udemy - Build and train a data model to recognize objects in images! (Size: 2.5 GB)
  001 Installing Python and PyCharm.mp4 13.5 MB
  001 Intro and Set up.mp4 8.6 MB
  001 Introduction to Datasets and CIFAR-10.mp4 13.6 MB
  001 Introduction to Machine Learning Neural Networks.mp4 14.3 MB
  001 Introduction to Saving and Loading.mp4 14.1 MB
  001 Introduction to the Image Classifier Model.mp4 16.8 MB
  001 Introduction to the Keras API.mp4 13.5 MB
  001 Introduction.mp4 6.9 MB
  001 Please leave us a rating.html 102.4 B
  001 Texts Assets Understand Machine Learning Neural Networks.html 0 B
  001 What is Python Artificial Intelligence.mp4 103.7 MB
  002 Bonus Lecture Get 155 courses!.html 409.6 B
  002 Building the Model.mp4 109.3 MB
  002 Exploring CIFAR-10 Dataset.mp4 85.8 MB
  002 How to Use PyCharm.mp4 10.7 MB
  002 Introduction to Machine Learning.mp4 124.1 MB
  002 Introduction to TensorFlow and Keras.mp4 86.4 MB
  002 Project Overview.mp4 5.9 MB
  002 Saving and Loading Model to H5.mp4 151.5 MB
  002 Texts Assets Explore the Keras API.html 0 B
  002 What is TensorFlow.mp4 24.5 MB
  003 Asset Files Format Datasets and Examine CIFAR-10.html 0 B
  003 Compiling and Training the Model.mp4 157.5 MB
  003 Important CIFAR Packages.mp4 21.7 MB
  003 Intro and Variables.mp4 22.1 MB
  003 Introduction to Neutral Networks.mp4 113.2 MB
  003 Saving Model to Protobuf File.mp4 137.8 MB
  003 Understanding Keras Syntax.mp4 96.5 MB
  003 Understanding Specific Data Points.mp4 121.8 MB
  003 Update! Importing TensorFlow to PyCharm.mp4 34.4 MB
  004 Asset Files Build the Image Classifier Model.html 0 B
  004 Bootcamp Summary.mp4 26.2 MB
  004 Displaying Images with PIL.mp4 14.8 MB
  004 FAQ Help with TensorFlow Installation.html 409.6 B
  004 Formatting Input Images.mp4 92 MB
  004 Gradient Descent and Optimizer.mp4 132.3 MB
  004 Introduction to Activation Functions.mp4 124.3 MB
  004 Introduction to Convolutions.mp4 125.2 MB
  004 Multi-value Variables.mp4 69.5 MB
  005 Asset Files Save and Load Trained Models.html 0 B
  005 Constant and Operation Nodes.mp4 27.3 MB
  005 Control Flow.mp4 48.7 MB
  005 Retrieving CIFAR 10 Data.mp4 19.8 MB
  006 Functions.mp4 23.5 MB
  006 Installing Matplotlib.html 307.2 B
  006 Placeholder Nodes.mp4 21.4 MB
  007 Classes and Wrap Up.mp4 80.9 MB
  007 Playing with CIFAR Images.mp4 18.4 MB
  007 Variable Nodes.mp4 17.7 MB
  008 ($300 value!) Source Files.html 0 B
  008 Building the Model.mp4 29.3 MB
  008 How to Create Linear Regression Model.mp4 11.4 MB
  009 Building Linear Regression Model.mp4 45.1 MB
  009 Building Training Data and Training the Model.mp4 20.4 MB
  010 ($300 value!) Source Files.html 0 B
  010 Testing the Model.mp4 30.5 MB
  011 ($300 value!) Source Files.html 0 B
  Activation Functions 2.3 KB
  Bonus Resources.txt 409.6 B
  Classes.py 1.5 KB
  Control Flow.py 921.6 B
  DS_Store 6 KB
  Functions.py 204.8 B
  Get Bonus Downloads Here.url 204.8 B
  Image_Classifier.h5 32.1 MB
  Image_Classifier.pb 32.1 MB
  Image_Classifier.py 2.5 KB
  Image_Classifier_Project.iml 409.6 B
  Image_Data_Exploration.iml 409.6 B
  Image_Recognition_Tester.py 614.4 B
  Image_Recognition_Trainer.py 1.8 KB
  Intro to Keras 921.6 B
  Intro to Tensorflow Points 921.6 B
  Intro to Tensorflow.iml 409.6 B
  Linear Regression Model.py 921.6 B
  Linear Regression Points 716.8 B
  Main.py 614.4 B
  Model_Code.py 2.5 KB
  Model_Test.py 716.8 B
  Multivalue Variables.py 1.2 KB
  New File.py 0 B
  Node Types Part 1.py 512 B
  Node Types Part 2.py 409.6 B
  Node Types Part 3.py 409.6 B
  Optimizers Text 1.6 KB
  Overview 204.8 B
  Protobuf_Creation_Script.py 1.2 KB
  Python Basics.iml 409.6 B
  Save_Model_Project.iml 409.6 B
  Simple Image Recognition.iml 409.6 B
  Texts.iml 409.6 B
  Trained_model.h5 32.1 MB
  Variables.py 614.4 B
  What is Machine Learning_ 3.2 KB
  What is a Convolutional Neural Network_ 2.1 KB
  What is a Neural Network_ 2 KB
  _.DS_Store 102.4 B
  misc.xml 204.8 B
  modules.xml 307.2 B
  workspace.xml 10.8 KB
  ▲ 121 total files

Description


Build and train a data model to recognize objects in images!
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.50 GB | Duration: 8h 25m

Make an image recognition model with TensorFlow & Python predictive modeling, regression analysis & machine learning!

What you'll learn
Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
Learn TensorFlow and how to build models of linear regression.
Make an image recognition model with CIFAR.

Requirements
Please download PyCharm Community Edition 2017.2.3.
Description
"Well done!!!!!! I found it the BEST source for me out of many to learn how to implement AI project due the facts it starts from the very basics of Python and TensorFlow and assumes no prior knowledge (or almost no prior knowledge) which should not be taken for granted since other courses do so. The instructor is wonderful and explains all the concepts wonderfully! Thank you so much! helped me a lot!"

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