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种子名称： [Tutorialsplanet.NET] Udemy - Machine Learning for Apps
文件类型： 视频
文件数目： 42个文件
文件大小： 1.3 GB
收录时间： 2019-10-9 08:41
已经下载： 3次
资源热度： 116
最近下载： 2024-12-16 10:30

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[Tutorialsplanet.NET] Udemy - Machine Learning for Apps.torrent

1. Intro to Course/1. What is Machine Learning.mp432.7MB

1. Intro to Course/2. Basics of Machine Learning.mp427.64MB

1. Intro to Course/3. Installing Anaconda Python Environment.mp432.84MB

1. Intro to Course/4. Downloading Setting Up Atom & Plugins.mp433.97MB

2. Python Basics/1. Variables in Python.mp424.66MB

2. Python Basics/2. Functions, Conditionals, & Loops in Python.mp428.45MB

2. Python Basics/3. Arrays & Tuples in Python.mp438.25MB

2. Python Basics/4. Importing Modules in Python.mp420.6MB

3. Building a Classification Model/1. What is scikit-learn Why use it.mp49.85MB

3. Building a Classification Model/2. Installing scikit-learn & scipy with Anaconda.mp411.69MB

3. Building a Classification Model/3. Intro to the Iris Dataset.mp49.29MB

3. Building a Classification Model/4. Datasets Features & Labels Explained.mp422.33MB

3. Building a Classification Model/5. Loading the Iris Dataset Examining & Preparing Data.mp428.57MB

3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.mp431.56MB

3. Building a Classification Model/7. Testing Prediction Accuracy with Test Data.mp426.5MB

3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.mp435.83MB

4. Building a Convolutional Neural Network/1. What is Keras Why use it.mp428.72MB

4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).mp453.06MB

4. Building a Convolutional Neural Network/3. Installing Keras with Anaconda.mp419.51MB

4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.mp455.83MB

4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.mp453.17MB

4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.mp443.83MB

4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.mp466.35MB

4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.mp433.35MB

5. Building a Handwriting Recognition App/1. Intro to App – Handwriting.mp48.31MB

5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.mp436.26MB

5. Building a Handwriting Recognition App/3. Drawing On Screen.mp471.36MB

5. Building a Handwriting Recognition App/4. Importing Core ML Model Reading Metadata.mp420.86MB

5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.mp464.51MB

5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.mp454.83MB

6. Core ML Basics/1. Intro to App – Core ML Photo Analysis.mp424.11MB

6. Core ML Basics/10. Passing Images Through Core ML Model.mp449.4MB

6. Core ML Basics/11. Handling Core ML Prediction Results.mp436.19MB

6. Core ML Basics/12. Challenge – Core ML Photo Analysis.mp46.91MB

6. Core ML Basics/2. What is Machine Learning.mp432.69MB

6. Core ML Basics/3. What is Core ML.mp417.27MB

6. Core ML Basics/4. Creating Xcode Project.mp49.65MB

6. Core ML Basics/5. Building ImageVC in Interface Builder Wiring Up.mp425.26MB

6. Core ML Basics/6. Creating ImageCell & Subclass Wiring Up.mp427.3MB

6. Core ML Basics/7. Creating FoodItems Helper File.mp425.29MB

6. Core ML Basics/8. Creating Custom 3x3 Grid UICollectionViewFlowLayout.mp430.51MB

6. Core ML Basics/9. Choosing, Downloading, Importing Core ML Model.mp423.6MB