Udemy - Machine Learning For Apps [TP]

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[Tutorialsplanet.NET] Udemy - Machine Learning for Apps 1. Intro to Course
  • 1. What is Machine Learning.mp4 (32.7 MB)
  • 1. What is Machine Learning.vtt (10.1 KB)
  • 2. Basics of Machine Learning.mp4 (27.6 MB)
  • 2. Basics of Machine Learning.vtt (8.4 KB)
  • 3. Installing Anaconda Python Environment.mp4 (32.8 MB)
  • 3. Installing Anaconda Python Environment.vtt (9.3 KB)
  • 4. Downloading Setting Up Atom & Plugins.mp4 (34.0 MB)
  • 4. Downloading Setting Up Atom & Plugins.vtt (12.0 KB)
2. Python Basics
  • 1. Variables in Python.mp4 (24.7 MB)
  • 1. Variables in Python.vtt (10.9 KB)
  • 2. Functions, Conditionals, & Loops in Python.mp4 (28.4 MB)
  • 2. Functions, Conditionals, & Loops in Python.vtt (11.6 KB)
  • 3. Arrays & Tuples in Python.mp4 (38.2 MB)
  • 3. Arrays & Tuples in Python.vtt (17.0 KB)
  • 4. Importing Modules in Python.mp4 (20.6 MB)
  • 4. Importing Modules in Python.vtt (6.8 KB)
3. Building a Classification Model
  • 1. What is scikit-learn Why use it.mp4 (9.8 MB)
  • 1. What is scikit-learn Why use it.vtt (4.5 KB)
  • 2. Installing scikit-learn & scipy with Anaconda.mp4 (11.7 MB)
  • 2. Installing scikit-learn & scipy with Anaconda.vtt (3.8 KB)
  • 3. Intro to the Iris Dataset.mp4 (9.3 MB)
  • 3. Intro to the Iris Dataset.vtt (4.2 KB)
  • 4. Datasets Features & Labels Explained.mp4 (22.3 MB)
  • 4. Datasets Features & Labels Explained.vtt (9.4 KB)
  • 5. Loading the Iris Dataset Examining & Preparing Data.mp4 (28.6 MB)
  • 5. Loading the Iris Dataset Examining & Preparing Data.vtt (11.7 KB)
  • 6. Creating Training a KNeighborsClassifier.mp4 (31.6 MB)
  • 6. Creating Training a KNeighborsClassifier.vtt (12.1 KB)
  • 7. Testing Prediction Accuracy with Test Data.mp4 (26.5 MB)
  • 7. Testing Prediction Accuracy with Test Data.vtt (14.6 KB)
  • 8. Building Our Own KNeighborsClassifier.mp4 (35.8 MB)
  • 8. Building Our Own KNeighborsClassifier.vtt (21.9 KB)
4. Building a Convolutional Neural Network
  • 1. What is Keras Why use it.mp4 (28.7 MB)
  • 1. What is Keras Why use it.vtt (9.9 KB)
  • 2. What is a Convolutional Neural Network (CNN).mp4 (53.1 MB)
  • 2. What is a Convolutional Neural Network (CNN).vtt (34.7 KB)
  • 3. Installing Keras with Anaconda.mp4 (19.5 MB)
  • 3. Installing Keras with Anaconda.vtt (5.5 KB)
  • 4. Preparing Dataset for a CNN.mp4 (55.8 MB)
  • 4. Preparing Dataset for a CNN.vtt (21.4 KB)
  • 5. Building Visualizing a CNN using Sequential Part 1.mp4 (53.2 MB)
  • 5. Building Visualizing a CNN using Sequential Part 1.vtt (17.9 KB)
  • 6. Building Visualizing a CNN using Sequential Part 2.mp4 (43.8 MB)
  • 6. Building Visualizing a CNN using Sequential Part 2.vtt (24.0 KB)
  • 7. Training CNN Evaluating Accuracy Saving to Disk.mp4 (66.4 MB)
  • 7. Training CNN Evaluating Accuracy Saving to Disk.vtt (21.4 KB)
  • 8. Switching Python Environments Converting to Core ML Model.mp4 (33.3 MB)
  • 8. Switching Python Environments Converting to Core ML Model.vtt (16.3 KB)
5. Building a Handwriting Recognition App
  • 1. Intro to App – Handwriting.mp4 (8.3 MB)
  • 1. Intro to App – Handwriting.vtt (3.7 KB)
  • 2. Building Interface Wiring Up.mp4 (36.3 MB)
  • 2. Building Interface Wiring Up.vtt (15.0 KB)
  • 3. Drawing On Screen.mp4 (71.4 MB)
  • 3. Drawing On Screen.vtt (26.8 KB)
  • 4. Importing Core ML Model Reading Metadata.mp4 (20.9 MB)
  • 4. Importing Core ML Model Reading Metadata.vtt (6.8 KB)
  • 5. Utilizing Core ML Vision to Make Prediction.mp4 (64.5 MB)
  • 5. Utilizing Core ML Vision to Make Prediction.vtt (21.7 KB)
  • 6. Handling Displaying Prediction Results.mp4 (54.8 MB)
  • 6. Handling Displaying Prediction Results.vtt (18.7 KB)
  • 6.1 ML-Source-Code.zip.zip (12.2 MB)
6. Core ML Basics
  • 1. Intro to App – Core ML Photo Analysis.mp4 (24.1 MB)
  • 1. Intro to App – Core ML Photo Analysis.vtt (5.5 KB)
  • 10. Passing Images Through Core ML Model.mp4 (49.4 MB)
  • 10. Passing Images Through Core ML Model.vtt (16.0 KB)
  • 11. Handling Core ML Prediction Results.mp4 (36.2 MB)
  • 11. Handling Core ML Prediction Results.vtt (12.3 KB)
  • 11.1 machine-learning-core-awesomeness.zip.zip (15.9 MB)
  • 12. Challenge – Core ML Photo Analysis.mp4 (6.9 MB)
  • 12. Challenge – Core ML Photo Analysis.vtt (1.5 KB)
  • 2. What is Machine Learning.mp4 (32.7 MB)
  • 2. What is Machine Learning.vtt (10.1 KB)
  • 3. What is Core ML.mp4 (17.3 MB)
  • 3. What is Core ML.vtt (6.8 KB)
  • 4. Creating Xcode Project.mp4 (9.6 MB)
  • 4. Creating Xcode Project.vtt (3.2 KB)
  • 4.1 Core-ML-Assets.zip.zip (607.7 KB)
  • 5. Building ImageVC in Interface Builder Wiring Up.mp4 (25.3 MB)
  • 5. Building ImageVC in Interface Builder Wiring Up.vtt (9.9 KB)
  • 6. Creating ImageCell & Subclass Wiring Up.mp4 (27.3 MB)
  • 6. Creating ImageCell & Subclass Wiring Up.vtt (10.9 KB)
  • 7. Creating FoodItems Helper File.mp4 (25.3 MB)
  • 7. Creating FoodItems Helper File.vtt (8.9 KB)
  • 8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.mp4 (30.5 MB)
  • 8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.vtt (12.1 KB)
  • 9. Choosing, Downloading, Importing Core ML Model.mp4 (23.6 MB)
  • 9. Choosing, Downloading, Importing Core ML Model.vtt (6.8 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)

Description

Udemy - Machine Learning For Apps [TP]

Start building more intelligent apps with Machine Learning. Take advantage of this new foundational framework!

For more Udemy Courses: https://tutorialsplanet.net



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Udemy - Machine Learning For Apps [TP]

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Download torrent
1.3 GB
seeders:14
leechers:5
Udemy - Machine Learning For Apps [TP]

Torrent hash: 3FB3922877459BE119F39EA98DD160D57F7FBA8B