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

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[ DevCourseWeb.com ] Udemy - Build and train a data model to recognize objects in images!
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 001 What is Python Artificial Intelligence.mp4 (103.7 MB)
    02 - Python Basics
    • 001 Installing Python and PyCharm.mp4 (13.5 MB)
    • 002 How to Use PyCharm.mp4 (10.7 MB)
    • 003 Intro and Variables.mp4 (22.1 MB)
    • 004 Multi-value Variables.mp4 (69.5 MB)
    • 005 Control Flow.mp4 (48.7 MB)
    • 006 Functions.mp4 (23.5 MB)
    • 007 Classes and Wrap Up.mp4 (80.9 MB)
    • 008 ($300 value!) Source Files.html (0.0 KB)
      • Python Basics
      • Classes.py (1.5 KB)
      • Control Flow.py (0.9 KB)
      • DS_Store (6.0 KB)
      • Functions.py (0.2 KB)
      • Multivalue Variables.py (1.2 KB)
      • New File.py (0.0 KB)
      • Variables.py (0.6 KB)
      • _.DS_Store (4.0 KB)
        • idea
        • Python Basics.iml (0.4 KB)
        • misc.xml (0.2 KB)
        • modules.xml (0.3 KB)
        • workspace.xml (16.7 KB)
        03 - TensorFlow Basics
        • 001 Intro and Set up.mp4 (8.6 MB)
        • 002 What is TensorFlow.mp4 (24.5 MB)
        • 003 Update! Importing TensorFlow to PyCharm.mp4 (34.4 MB)
        • 004 FAQ Help with TensorFlow Installation.html (0.4 KB)
        • 005 Constant and Operation Nodes.mp4 (27.3 MB)
        • 006 Placeholder Nodes.mp4 (21.4 MB)
        • 007 Variable Nodes.mp4 (17.7 MB)
        • 008 How to Create Linear Regression Model.mp4 (11.4 MB)
        • 009 Building Linear Regression Model.mp4 (45.1 MB)
        • 010 ($300 value!) Source Files.html (0.0 KB)
          • Tensorflow Basics Code
          • Intro to Tensorflow Points (0.9 KB)
          • Linear Regression Model.py (0.9 KB)
          • Linear Regression Points (0.7 KB)
          • Node Types Part 1.py (0.5 KB)
          • Node Types Part 2.py (0.4 KB)
          • Node Types Part 3.py (0.4 KB)
            • idea
            • Intro to Tensorflow.iml (0.4 KB)
            • misc.xml (0.2 KB)
            • modules.xml (0.3 KB)
            • workspace.xml (18.4 KB)
            04 - Image Recognition (CIFAR-10 Project)
            • 001 Introduction.mp4 (6.9 MB)
            • 002 Project Overview.mp4 (5.9 MB)
            • 003 Important CIFAR Packages.mp4 (21.7 MB)
            • 004 Displaying Images with PIL.mp4 (14.8 MB)
            • 005 Retrieving CIFAR 10 Data.mp4 (19.8 MB)
            • 006 Installing Matplotlib.html (0.3 KB)
            • 007 Playing with CIFAR Images.mp4 (18.4 MB)
            • 008 Building the Model.mp4 (29.3 MB)
            • 009 Building Training Data and Training the Model.mp4 (20.4 MB)
            • 010 Testing the Model.mp4 (30.5 MB)
            • 011 ($300 value!) Source Files.html (0.0 KB)
              • Simple Image Recognition
              • Image_Recognition_Tester.py (0.6 KB)
              • Image_Recognition_Trainer.py (1.8 KB)
              • Overview (0.2 KB)
              • Trained_model.h5 (32.1 MB)
                • idea
                • Simple Image Recognition.iml (0.4 KB)
                • misc.xml (0.2 KB)
                • modules.xml (0.3 KB)
                • workspace.xml (15.8 KB)
                05 - Bootcamp Peek! Machine Learning Neural Networks
                • 001 Introduction to Machine Learning Neural Networks.mp4 (14.3 MB)
                • 002 Introduction to Machine Learning.mp4 (124.1 MB)
                • 003 Introduction to Neutral Networks.mp4 (113.2 MB)
                • 004 Introduction to Convolutions.mp4 (125.2 MB)
                06 - Explore the Keras API
                • 001 Introduction to the Keras API.mp4 (13.5 MB)
                • 002 Introduction to TensorFlow and Keras.mp4 (86.4 MB)
                • 003 Understanding Keras Syntax.mp4 (96.5 MB)
                • 004 Introduction to Activation Functions.mp4 (124.3 MB)
                07 - Format Datasets and Examine CIFAR-10
                • 001 Introduction to Datasets and CIFAR-10.mp4 (13.6 MB)
                • 002 Exploring CIFAR-10 Dataset.mp4 (85.8 MB)
                • 003 Understanding Specific Data Points.mp4 (121.8 MB)
                • 004 Formatting Input Images.mp4 (92.0 MB)
                08 - Build the Image Classifier Model
                • 001 Introduction to the Image Classifier Model.mp4 (16.8 MB)
                • 002 Building the Model.mp4 (109.3 MB)
                • 003 Compiling and Training the Model.mp4 (157.5 MB)
                • 004 Gradient Descent and Optimizer.mp4 (132.3 MB)
                09 - Save and Load Trained Models
                • 001 Introduction to Saving and Loading.mp4 (14.1 MB)
                • 002 Saving and Loading Model to H5.mp4 (151.5 MB)
                • 003 Saving Model to Protobuf File.mp4 (137.8 MB)
                • 004 Bootcamp Summary.mp4 (26.2 MB)
                10 - Bonus Sections Source Material
                • 001 Texts Assets Understand Machine Learning Neural Networks.html (0.0 KB)
                • 002 Texts Assets Explore the Keras API.html (0.0 KB)
                • 003 Asset Files Format Datasets and Examine CIFAR-10.html (0.0 KB)
                • 004 Asset Files Build the Image Classifier Model.html (0.0 KB)
                • 005 Asset Files Save and Load Trained Models.html (0.0 KB)
                  • Image_Classifier_Project
                  • Image_Classifier.py (2.5 KB)
                  • Optimizers Text (1.6 KB)
                    • idea
                    • Image_Classifier_Project.iml (0.4 KB)
                    • misc.xml (0.2 KB)
                    • modules.xml (0.3 KB)
                    • workspace.xml (12.7 KB)
                    Image_Data_Exploration
                    • Main.py (1.0 KB)
                      • idea
                      • Image_Data_Exploration.iml (0.4 KB)
                      • misc.xml (0.2 KB)
                      • modules.xml (0.3 KB)
                      • workspace.xml (9.5 KB)
                      Save_Model_Project
                      • Image_Classifier.h5 (32.1 MB)

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

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Download torrent
2.5 GB
seeders:5
leechers:8
Udemy - Build and train a data model to recognize objects in images!

Torrent hash: D4ACDAEC7182735A91DA6D408AA108311BC62C6D