[FreeCourseLab.com] Udemy - Machine Learning for Apps

磁力链接/BT种子名称

[FreeCourseLab.com] Udemy - Machine Learning for Apps

磁力链接/BT种子简介

种子哈希：705c083be0be7aff25fb25978651e2966ac5a41b
文件大小： 1.33G
已经下载：742次
下载速度：极快
收录时间：2020-01-23
最近下载：2025-07-09

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磁力链接

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文件列表

  • 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
  • [FreeCourseLab.com].url 126 Bytes

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！