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5. Building a Handwriting Recognition App/3. Drawing On Screen.mp4 71.36 MB
4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.mp4 66.35 MB
5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.mp4 64.51 MB
4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.mp4 55.83 MB
5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.mp4 54.83 MB
4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.mp4 53.17 MB
4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).mp4 53.06 MB
6. Core ML Basics/10. Passing Images Through Core ML Model.mp4 49.4 MB
4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.mp4 43.83 MB
2. Python Basics/3. Arrays & Tuples in Python.mp4 38.25 MB
5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.mp4 36.26 MB
6. Core ML Basics/11. Handling Core ML Prediction Results.mp4 36.19 MB
3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.mp4 35.83 MB
1. Intro to Course/4. Downloading Setting Up Atom & Plugins.mp4 33.97 MB
4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.mp4 33.35 MB
1. Intro to Course/3. Installing Anaconda Python Environment.mp4 32.84 MB
1. Intro to Course/1. What is Machine Learning.mp4 32.7 MB
6. Core ML Basics/2. What is Machine Learning.mp4 32.69 MB
3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.mp4 31.56 MB
6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.mp4 30.51 MB
4. Building a Convolutional Neural Network/1. What is Keras Why use it.mp4 28.72 MB
3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.mp4 28.57 MB
2. Python Basics/2. Functions, Conditionals, & Loops in Python.mp4 28.45 MB
1. Intro to Course/2. Basics of Machine Learning.mp4 27.64 MB
6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.mp4 27.3 MB
3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.mp4 26.5 MB
6. Core ML Basics/7. Creating FoodItems Helper File.mp4 25.29 MB
6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.mp4 25.26 MB
2. Python Basics/1. Variables in Python.mp4 24.66 MB
6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.mp4 24.11 MB
6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.mp4 23.6 MB
3. Building a Classification Model/4. Datasets Features & Labels Explained.mp4 22.33 MB
5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.mp4 20.86 MB
2. Python Basics/4. Importing Modules in Python.mp4 20.6 MB
4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.mp4 19.51 MB
6. Core ML Basics/3. What is Core ML.mp4 17.27 MB
6. Core ML Basics/11.1 machine-learning-core-awesomeness.zip.zip 15.88 MB
5. Building a Handwriting Recognition App/6.1 ML-Source-Code.zip.zip 12.24 MB
3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.mp4 11.69 MB
3. Building a Classification Model/1. What is scikit-learn Why use it.mp4 9.85 MB
6. Core ML Basics/4. Creating Xcode Project.mp4 9.65 MB
3. Building a Classification Model/3. Intro to the Iris Dataset.mp4 9.29 MB
5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.mp4 8.31 MB
6. Core ML Basics/12. Challenge – Core ML Photo Analysis.mp4 6.91 MB
6. Core ML Basics/4.1 Core-ML-Assets.zip.zip 607.75 KB
4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).vtt 34.7 KB
5. Building a Handwriting Recognition App/3. Drawing On Screen.vtt 26.8 KB
4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.vtt 24.03 KB
3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.vtt 21.87 KB
5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.vtt 21.73 KB
4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.vtt 21.44 KB
4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.vtt 21.37 KB
5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.vtt 18.71 KB
4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.vtt 17.87 KB
2. Python Basics/3. Arrays & Tuples in Python.vtt 16.98 KB
4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.vtt 16.34 KB
6. Core ML Basics/10. Passing Images Through Core ML Model.vtt 15.99 KB
5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.vtt 15.04 KB
3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.vtt 14.57 KB
6. Core ML Basics/11. Handling Core ML Prediction Results.vtt 12.3 KB
3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.vtt 12.15 KB
6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.vtt 12.05 KB
1. Intro to Course/4. Downloading Setting Up Atom & Plugins.vtt 11.96 KB
3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.vtt 11.66 KB
2. Python Basics/2. Functions, Conditionals, & Loops in Python.vtt 11.63 KB
6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.vtt 10.91 KB
2. Python Basics/1. Variables in Python.vtt 10.89 KB
1. Intro to Course/1. What is Machine Learning.vtt 10.1 KB
6. Core ML Basics/2. What is Machine Learning.vtt 10.1 KB
4. Building a Convolutional Neural Network/1. What is Keras Why use it.vtt 9.92 KB
6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.vtt 9.89 KB
3. Building a Classification Model/4. Datasets Features & Labels Explained.vtt 9.4 KB
1. Intro to Course/3. Installing Anaconda Python Environment.vtt 9.3 KB
6. Core ML Basics/7. Creating FoodItems Helper File.vtt 8.89 KB
1. Intro to Course/2. Basics of Machine Learning.vtt 8.38 KB
6. Core ML Basics/3. What is Core ML.vtt 6.84 KB
2. Python Basics/4. Importing Modules in Python.vtt 6.82 KB
6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.vtt 6.79 KB
5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.vtt 6.78 KB
4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.vtt 5.5 KB
6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.vtt 5.47 KB
3. Building a Classification Model/1. What is scikit-learn Why use it.vtt 4.46 KB
3. Building a Classification Model/3. Intro to the Iris Dataset.vtt 4.18 KB
3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.vtt 3.77 KB
5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.vtt 3.75 KB
6. Core ML Basics/4. Creating Xcode Project.vtt 3.16 KB
6. Core ML Basics/12. Challenge – Core ML Photo Analysis.vtt 1.5 KB
[FreeCourseLab.com].url 126 B
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