Udemy - The Deep Learning Masterclass - Classify Images With Keras

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[ TutGee.com ] Udemy - The Deep Learning Masterclass - Classify Images With Keras
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - DAY 1 Learn to Use PyCharm
    • 1 - Bootcamp Introduction English.vtt (7.6 KB)
    • 1 - Bootcamp Introduction.mp4 (31.2 MB)
    • 2 - Introduction to PyCharm English.vtt (5.0 KB)
    • 2 - Introduction to PyCharm.mp4 (14.0 MB)
    • 3 - Downloading and Installing English.vtt (13.4 KB)
    • 3 - Downloading and Installing.mp4 (85.7 MB)
    • 4 - Exploring PyCharm Interface English.vtt (11.9 KB)
    • 4 - Exploring PyCharm Interface.mp4 (36.9 MB)
    • 5 - Add and Run Python Files English.vtt (10.0 KB)
    • 5 - Add and Run Python Files.mp4 (29.9 MB)
    • 6 - Building and Running a Simple Program English.vtt (14.2 KB)
    • 6 - Building and Running a Simple Program.mp4 (47.3 MB)
    2 - DAY 2 Learn Python Language Basics
    • 10 - Tuples and Lists English.vtt (16.2 KB)
    • 10 - Tuples and Lists.mp4 (82.1 MB)
    • 11 - Dictionaries English.vtt (8.5 KB)
    • 11 - Dictionaries.mp4 (49.0 MB)
    • 12 - If Statements English.vtt (13.2 KB)
    • 12 - If Statements.mp4 (56.1 MB)
    • 13 - While Loops and For In Loops English.vtt (14.4 KB)
    • 13 - While Loops and For In Loops.mp4 (77.0 MB)
    • 14 - Function Implementation and Execution English.vtt (13.7 KB)
    • 14 - Function Implementation and Execution.mp4 (53.0 MB)
    • 15 - Parameter and Return Values English.vtt (10.2 KB)
    • 15 - Parameter and Return Values.mp4 (51.8 MB)
    • 16 - Introduction to Classes and Objects English.vtt (16.9 KB)
    • 16 - Introduction to Classes and Objects.mp4 (65.2 MB)
    • 17 - Subclasses and Superclasses English.vtt (17.1 KB)
    • 17 - Subclasses and Superclasses.mp4 (90.7 MB)
    • 18 - Summary and Outro English.vtt (4.5 KB)
    • 18 - Summary and Outro.mp4 (27.2 MB)
    • 7 - Introduction to Python Language Basics English.vtt (6.9 KB)
    • 7 - Introduction to Python Language Basics.mp4 (23.3 MB)
    • 8 - Variables Syntax and Basic Types English.vtt (12.0 KB)
    • 8 - Variables Syntax and Basic Types.mp4 (40.2 MB)
    • 9 - Variable Operations English.vtt (12.9 KB)
    • 9 - Variable Operations.mp4 (59.9 MB)
    3 - DAY 3 Understand Machine Learning Neural Networks
    • 19 - Introduction to Machine Learning Neural Networks English.vtt (2.4 KB)
    • 19 - Introduction to Machine Learning Neural Networks.mp4 (5.5 MB)
    • 20 - Introduction to Machine Learning English.vtt (16.3 KB)
    • 20 - Introduction to Machine Learning.mp4 (150.7 MB)
    • 21 - Introduction to Neutral Networks English.vtt (14.4 KB)
    • 21 - Introduction to Neutral Networks.mp4 (106.5 MB)
    • 22 - Introduction to Convolutions English.vtt (19.7 KB)
    • 22 - Introduction to Convolutions.mp4 (154.4 MB)
    4 - DAY 4 Explore the Keras API
    • 23 - Introduction to the Keras API English.vtt (2.0 KB)
    • 23 - Introduction to the Keras API.mp4 (4.6 MB)
    • 24 - Introduction to TensorFlow and Keras English.vtt (12.8 KB)
    • 24 - Introduction to TensorFlow and Keras.mp4 (76.8 MB)
    • 25 - Understanding Keras Syntax English.vtt (28.0 KB)
    • 25 - Understanding Keras Syntax.mp4 (101.6 MB)
    • 26 - Introduction to Activation Functions English.vtt (18.1 KB)
    • 26 - Introduction to Activation Functions.mp4 (150.0 MB)
    5 - DAY 5 Format Datasets and Examine CIFAR10
    • 27 - Introduction to Datasets and CIFAR English.vtt (2.0 KB)
    • 27 - Introduction to Datasets and CIFAR10.mp4 (4.6 MB)
    • 28 - Exploring CIFAR English.vtt (10.8 KB)
    • 28 - Exploring CIFAR10 Dataset.mp4 (75.4 MB)
    • 29 - Understanding Specific Data Points English.vtt (24.2 KB)
    • 29 - Understanding Specific Data Points.mp4 (138.5 MB)
    • 30 - Formatting Input Images English.vtt (16.0 KB)
    • 30 - Formatting Input Images.mp4 (83.5 MB)
    6 - DAY 6 Build the Image Classifier Model
    • 31 - Introduction to the Image Classifier Model English.vtt (2.9 KB)
    • 31 - Introduction to the Image Classifier Model.mp4 (7.8 MB)
    • 32 - Building the Model English.vtt (26.1 KB)
    • 32 - Building the Model.mp4 (120.5 MB)
    • 33 - Compiling and Training the Model English.vtt (16.6 KB)
    • 33 - Compiling and Training the Model.mp4 (148.7 MB)
    • 34 - Gradient Descent and Optimizer English.vtt (20.0 KB)
    • 34 - Gradient Descent and Optimizer.mp4 (159.5 MB)
    7 - DAY 7 Save and Load Trained Models
    • 35 - Introduction to Saving and Loading English.vtt (2.6 KB)
    • 35 - Introduction to Saving and Loading.mp4 (5.1 MB)
    • 36 - Saving and Loading Model to H5 English.vtt (20.9 KB)
    • 36 - Saving and Loading Model to H5.mp4 (194.2 MB)
    • 37 - Saving Model to Protobuf File English.vtt (23.4 KB)
    • 37 - Saving Model to Protobuf File.mp4 (161.3 MB)
    • 38 - Bootcamp Summary English.vtt (7.1 KB)
    • 38 - Bootcamp Summary.mp4 (16.7 MB)
    8 - Source Material
    • 39 - Source Code Learn Python Language Basics.html (0.0 KB)
    • 40 - Texts Assets Understand Machine Learning Neural Networks.html (0.0 KB)
    • 41 - Texts Assets Explore the Keras API.html (0.0 KB)
    • 42 - Asset Files Format Datasets and Examine CIFAR10.html (0.0 KB)
    • 43 - Asset Files Build the Image Classifier Model.html (0.0 KB)
    • 44 - 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)

Description

The Deep Learning Masterclass: Classify Images With Keras



https://TutGee.com

Last updated 11/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 5h 48m

Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!

What you'll learn
Use PyCharm and run Python files and programs on the interface
Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language
Understand and use machine learning and neural networks with core concepts and examples
Get a solid grasp of using convolutions
Learn to use the Keras API and Syntax
Get to know TensorFlow, the open source machine learning framework for everyone
Explore the CIFAR-10 image dataset
Build an image classifier model from scratch
Classify images by training a model
Get all source files for your quick reference
And much more!
Requirements
No experience required!
We will show you how to get PyCharm, Python, Keras and TensorFlow
This course was recorded on a Mac, but you can use a PC.
Description
"Very clear and babysteps-wise so far." The Deep Learning Masterclass: Make a Keras Image Classifier Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy.This course was funded by a wildly successful KickstarterAnyone can take this course. No experience is required. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler.This course is divided into days, but of course you can learn at your own pace. In Day 2 we teach you all the fundamentals of the Python programming language. If you already have experience coding in this popular language, brushing up on the fundamentals and fixing bad coding habits is a great exercise. If you are a beginner this section ensures you don't get lost with the rest of the crowd.At Day 3 we dive into machine learning and neural networks. You also get an introduction to convolutions. These are hot topics that are in high demand in the market. If you can use this new technology to your advantage you are pretty much guaranteed a job! Everyone is desperate for employees with these skills.In Day 4 we go headfirst into Keras and understanding the API and Syntax. You also get to know TensorFlow, the open source machine learning framework for everyone.At Day 5 we explore the CIFAR-10 image dataset. Then we are ready to build our very own image classifier model from scratch. You will learn how to classify images by training a model. We're going to have a lot of fun, and you'll have complete projects to put on your resume immediately. Join now in this NEW Mammoth Interactive bootcamp course!

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Udemy - The Deep Learning Masterclass - Classify Images With Keras

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2.8 GB
seeders:1
leechers:58
Udemy - The Deep Learning Masterclass - Classify Images With Keras

Torrent hash: EFB0FD874C732568858F483E5D7F2ACF1FF0DFC6