[FreeCourseLab.com] Udemy - Machine Learning for Apps - 磁力狗

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种子哈希：705c083be0be7aff25fb25978651e2966ac5a41b
文档大小：1.4 GB
文档个数：88个文档
下载次数：676次
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收录时间：2020-01-23
最近下载：2024-10-07
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文档列表

5. Building a Handwriting Recognition App/3. Drawing On Screen.mp4 74.8 MB
4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.mp4 69.6 MB
5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.mp4 67.6 MB
4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.mp4 58.5 MB
5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.mp4 57.5 MB
4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.mp4 55.8 MB
4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).mp4 55.6 MB
6. Core ML Basics/10. Passing Images Through Core ML Model.mp4 51.8 MB
4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.mp4 46.0 MB
2. Python Basics/3. Arrays & Tuples in Python.mp4 40.1 MB
5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.mp4 38.0 MB
6. Core ML Basics/11. Handling Core ML Prediction Results.mp4 37.9 MB
3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.mp4 37.6 MB
1. Intro to Course/4. Downloading Setting Up Atom & Plugins.mp4 35.6 MB
4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.mp4 35.0 MB
1. Intro to Course/3. Installing Anaconda Python Environment.mp4 34.4 MB
1. Intro to Course/1. What is Machine Learning.mp4 34.3 MB
6. Core ML Basics/2. What is Machine Learning.mp4 34.3 MB
3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.mp4 33.1 MB
6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.mp4 32.0 MB
4. Building a Convolutional Neural Network/1. What is Keras Why use it.mp4 30.1 MB
3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.mp4 30.0 MB
2. Python Basics/2. Functions, Conditionals, & Loops in Python.mp4 29.8 MB
1. Intro to Course/2. Basics of Machine Learning.mp4 29.0 MB
6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.mp4 28.6 MB
3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.mp4 27.8 MB
6. Core ML Basics/7. Creating FoodItems Helper File.mp4 26.5 MB
6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.mp4 26.5 MB
2. Python Basics/1. Variables in Python.mp4 25.9 MB
6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.mp4 25.3 MB
6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.mp4 24.7 MB
3. Building a Classification Model/4. Datasets Features & Labels Explained.mp4 23.4 MB
5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.mp4 21.9 MB
2. Python Basics/4. Importing Modules in Python.mp4 21.6 MB
4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.mp4 20.5 MB
6. Core ML Basics/3. What is Core ML.mp4 18.1 MB
6. Core ML Basics/11.1 machine-learning-core-awesomeness.zip.zip 16.7 MB
5. Building a Handwriting Recognition App/6.1 ML-Source-Code.zip.zip 12.8 MB
3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.mp4 12.3 MB
3. Building a Classification Model/1. What is scikit-learn Why use it.mp4 10.3 MB
6. Core ML Basics/4. Creating Xcode Project.mp4 10.1 MB
3. Building a Classification Model/3. Intro to the Iris Dataset.mp4 9.7 MB
5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.mp4 8.7 MB
6. Core ML Basics/12. Challenge – Core ML Photo Analysis.mp4 7.2 MB
6. Core ML Basics/4.1 Core-ML-Assets.zip.zip 622.3 kB
4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).vtt 35.5 kB
5. Building a Handwriting Recognition App/3. Drawing On Screen.vtt 27.4 kB
4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.vtt 24.6 kB
3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.vtt 22.4 kB
5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.vtt 22.2 kB
4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.vtt 22.0 kB
4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.vtt 21.9 kB
5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.vtt 19.2 kB
4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.vtt 18.3 kB
2. Python Basics/3. Arrays & Tuples in Python.vtt 17.4 kB
4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.vtt 16.7 kB
6. Core ML Basics/10. Passing Images Through Core ML Model.vtt 16.4 kB
5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.vtt 15.4 kB
3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.vtt 14.9 kB
6. Core ML Basics/11. Handling Core ML Prediction Results.vtt 12.6 kB
3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.vtt 12.4 kB
6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.vtt 12.3 kB
1. Intro to Course/4. Downloading Setting Up Atom & Plugins.vtt 12.2 kB
3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.vtt 11.9 kB
2. Python Basics/2. Functions, Conditionals, & Loops in Python.vtt 11.9 kB
6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.vtt 11.2 kB
2. Python Basics/1. Variables in Python.vtt 11.2 kB
1. Intro to Course/1. What is Machine Learning.vtt 10.3 kB
6. Core ML Basics/2. What is Machine Learning.vtt 10.3 kB
4. Building a Convolutional Neural Network/1. What is Keras Why use it.vtt 10.2 kB
6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.vtt 10.1 kB
3. Building a Classification Model/4. Datasets Features & Labels Explained.vtt 9.6 kB
1. Intro to Course/3. Installing Anaconda Python Environment.vtt 9.5 kB
6. Core ML Basics/7. Creating FoodItems Helper File.vtt 9.1 kB
1. Intro to Course/2. Basics of Machine Learning.vtt 8.6 kB
6. Core ML Basics/3. What is Core ML.vtt 7.0 kB
2. Python Basics/4. Importing Modules in Python.vtt 7.0 kB
6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.vtt 7.0 kB
5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.vtt 6.9 kB
4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.vtt 5.6 kB
6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.vtt 5.6 kB
3. Building a Classification Model/1. What is scikit-learn Why use it.vtt 4.6 kB
3. Building a Classification Model/3. Intro to the Iris Dataset.vtt 4.3 kB
3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.vtt 3.9 kB
5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.vtt 3.8 kB
6. Core ML Basics/4. Creating Xcode Project.vtt 3.2 kB
6. Core ML Basics/12. Challenge – Core ML Photo Analysis.vtt 1.5 kB
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