[Udemy] Deep Learning Course with Flutter & Python - Build 6 AI Apps (2020) [En]

磁力链接/BT种子名称

[Udemy] Deep Learning Course with Flutter & Python - Build 6 AI Apps (2020) [En]

磁力链接/BT种子简介

种子哈希：53bdd581bb70b8a0e6a4c3cdd26ec21e1030807a
文件大小： 3.85G
已经下载：9783次
下载速度：极快
收录时间：2021-01-15
最近下载：2025-10-08

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磁力链接

magnet:?xt=urn:btih:53BDD581BB70B8A0E6A4C3CDD26EC21E1030807A
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资源截图

API Integration

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文件列表

  • 8. Sketch2Real GAN App/5. Saving User Sketch.mp4 194.5 MB
  • 7. Image-To-Text NLP Algorithm/9. Live Camera Functionality - Part 2 & Finalizing.mp4 178.0 MB
  • 8. Sketch2Real GAN App/8. Building our Neural Network.mp4 147.8 MB
  • 7. Image-To-Text NLP Algorithm/8. Live Camera Functionality - Part 1.mp4 142.6 MB
  • 8. Sketch2Real GAN App/13. Interacting with Flask & Debugging.mp4 142.3 MB
  • 4. Flower Classifier/3. Setting up Home - Part 1.mp4 133.2 MB
  • 8. Sketch2Real GAN App/12. Building a Flask Server to Deploy our Neural Network.mp4 122.6 MB
  • 8. Sketch2Real GAN App/9. Going over Pix2Pix Algorithm & Training.mp4 115.8 MB
  • 7. Image-To-Text NLP Algorithm/6. Fetching Response.mp4 115.4 MB
  • 6. Sentiment Analysis NLP Algorithm/6. Set up functions for API in Flutter App.mp4 111.4 MB
  • 4. Flower Classifier/8. Building our Neural Network & Exporting it.mp4 110.7 MB
  • 8. Sketch2Real GAN App/3. Drawing functionality - Part 1.mp4 107.7 MB
  • 6. Sentiment Analysis NLP Algorithm/7. Implement API in Flutter App & Finalizing.mp4 104.1 MB
  • 3. Cat and Dog Classifier/6. Getting Dataset & Teachable Machine.mp4 101.0 MB
  • 3. Cat and Dog Classifier/7. Adding TFLite functions in Flutter project.mp4 100.5 MB
  • 5. Fruit & Vegetable Classifier/6. Building our Neural Network - Part 2.mp4 93.5 MB
  • 7. Image-To-Text NLP Algorithm/7. Adding Logic & Testing API.mp4 92.4 MB
  • 1. Introduction to Course/1. Course Introduction.mp4 86.2 MB
  • 3. Cat and Dog Classifier/3. Importing assets & Configuring Project.mp4 83.5 MB
  • 3. Cat and Dog Classifier/5. Setting up Home - Part 2.mp4 82.7 MB
  • 7. Image-To-Text NLP Algorithm/1. Introduction & Setting up the Project.mp4 75.6 MB
  • 3. Cat and Dog Classifier/9. Adding Logic to app & Finalizing.mp4 75.0 MB
  • 8. Sketch2Real GAN App/4. Drawing functionality - Part 2.mp4 73.1 MB
  • 8. Sketch2Real GAN App/2. Setting up Home.mp4 70.3 MB
  • 6. Sentiment Analysis NLP Algorithm/2. Introduction & Setting up the Project.mp4 70.2 MB
  • 8. Sketch2Real GAN App/7. Adding Logic & New Screen.mp4 68.8 MB
  • 4. Flower Classifier/5. Setting up Home - Part 3.mp4 67.6 MB
  • 7. Image-To-Text NLP Algorithm/3. Setting up Home - Part 2.mp4 67.3 MB
  • 9. BONUS Sketch2Real Extension/1. Adding library image as input!.mp4 66.8 MB
  • 7. Image-To-Text NLP Algorithm/2. Setting up Home - Part 1.mp4 63.8 MB
  • 5. Fruit & Vegetable Classifier/5. Building our Neural Network - Part 1.mp4 60.9 MB
  • 4. Flower Classifier/2. Setting up the Project.mp4 60.2 MB
  • 4. Flower Classifier/7. Preprocessing our Data.mp4 60.1 MB
  • 6. Sentiment Analysis NLP Algorithm/4. Setting up Home - Part 2.mp4 57.9 MB
  • 4. Flower Classifier/9. Finishing and Testing our app!.mp4 57.8 MB
  • 2. Sign Language Detector in Teachable Machine/1. Simple NN - Building a Sign Language Detector in Teachable Machine.mp4 55.7 MB
  • 7. Image-To-Text NLP Algorithm/4. Creating Functions in Home.mp4 55.3 MB
  • 6. Sentiment Analysis NLP Algorithm/5. Setting up Home - Part 3.mp4 49.7 MB
  • 8. Sketch2Real GAN App/11. Flask Introduction.mp4 46.7 MB
  • 8. Sketch2Real GAN App/10. Reviewing our Neural Network.mp4 46.7 MB
  • 6. Sentiment Analysis NLP Algorithm/3. Setting up Home - Part 1.mp4 46.4 MB
  • 3. Cat and Dog Classifier/4. Setting up Home - Part 1.mp4 45.4 MB
  • 5. Fruit & Vegetable Classifier/3. Setting up Home.mp4 44.7 MB
  • 7. Image-To-Text NLP Algorithm/5. Connecting to API Service Red Hat.mp4 41.8 MB
  • 5. Fruit & Vegetable Classifier/4. Getting Dataset & Starting new Notebook.mp4 40.2 MB
  • 3. Cat and Dog Classifier/2. Introduction.mp4 35.6 MB
  • 8. Sketch2Real GAN App/1. Introduction & Setting up the Project.mp4 35.1 MB
  • 9. BONUS Sketch2Real Extension/2. Finding a larger Edges2Shoes dataset & other Pix2Pix Datasets!.mp4 33.5 MB
  • 4. Flower Classifier/4. Setting up Home - Part 2.mp4 29.9 MB
  • 3. Cat and Dog Classifier/8. Taking Photo & Gallery Image Functionality.mp4 28.3 MB
  • 5. Fruit & Vegetable Classifier/2. Introduction & Setting up the Project.mp4 26.6 MB
  • 1. Introduction to Course/3. Installing Flutter on Mac & Windows.mp4 22.1 MB
  • 8. Sketch2Real GAN App/6. Clear Sketch Functionality.mp4 17.6 MB
  • 4. Flower Classifier/6. Google Collab Introduction.mp4 14.4 MB
  • 6. Sentiment Analysis NLP Algorithm/1. Sentiment Analysis App Review.mp4 13.4 MB
  • 4. Flower Classifier/1. Introduction.mp4 13.2 MB
  • 1. Introduction to Course/2. Extensions on VS Code used in Course.mp4 11.9 MB
  • 5. Fruit & Vegetable Classifier/1. IFruit App Review.mp4 8.5 MB
  • 3. Cat and Dog Classifier/1. CatvsDog Detector App Review.mp4 4.7 MB
  • 8. Sketch2Real GAN App/GAN/sketch2real.ipynb 248.1 kB
  • 6. Sentiment Analysis NLP Algorithm/2.1 theater.png 29.7 kB
  • 4. Flower Classifier/2.1 flower.png 26.6 kB
  • 4. Flower Classifier/8. Building our Neural Network & Exporting it.srt 17.8 kB
  • 8. Sketch2Real GAN App/5. Saving User Sketch.srt 17.7 kB
  • 8. Sketch2Real GAN App/12. Building a Flask Server to Deploy our Neural Network.srt 16.6 kB
  • 8. Sketch2Real GAN App/13. Interacting with Flask & Debugging.srt 16.3 kB
  • 7. Image-To-Text NLP Algorithm/9. Live Camera Functionality - Part 2 & Finalizing.srt 16.1 kB
  • 8. Sketch2Real GAN App/8. Building our Neural Network.srt 14.0 kB
  • 7. Image-To-Text NLP Algorithm/1.1 notepad.png 14.0 kB
  • 3. Cat and Dog Classifier/6. Getting Dataset & Teachable Machine.srt 13.0 kB
  • 4. Flower Classifier/3. Setting up Home - Part 1.srt 12.4 kB
  • 7. Image-To-Text NLP Algorithm/8. Live Camera Functionality - Part 1.srt 12.2 kB
  • 4. Flower Classifier/7. Preprocessing our Data.srt 12.0 kB
  • 5. Fruit & Vegetable Classifier/2.1 fruit.svg 11.6 kB
  • 8. Sketch2Real GAN App/9. Going over Pix2Pix Algorithm & Training.srt 11.5 kB
  • 6. Sentiment Analysis NLP Algorithm/6. Set up functions for API in Flutter App.srt 10.8 kB
  • 7. Image-To-Text NLP Algorithm/6. Fetching Response.srt 9.7 kB
  • 6. Sentiment Analysis NLP Algorithm/7. Implement API in Flutter App & Finalizing.srt 9.6 kB
  • 3. Cat and Dog Classifier/3. Importing assets & Configuring Project.srt 9.2 kB
  • 2. Sign Language Detector in Teachable Machine/1. Simple NN - Building a Sign Language Detector in Teachable Machine.srt 9.1 kB
  • 7. Image-To-Text NLP Algorithm/1. Introduction & Setting up the Project.srt 8.8 kB
  • 7. Image-To-Text NLP Algorithm/7. Adding Logic & Testing API.srt 8.4 kB
  • 3. Cat and Dog Classifier/7. Adding TFLite functions in Flutter project.srt 8.4 kB
  • 8. Sketch2Real GAN App/3. Drawing functionality - Part 1.srt 8.3 kB
  • 3. Cat and Dog Classifier/5. Setting up Home - Part 2.srt 8.3 kB
  • 8. Sketch2Real GAN App/11. Flask Introduction.srt 8.2 kB
  • 3. Cat and Dog Classifier/3.1 cat.png 8.1 kB
  • 6. Sentiment Analysis NLP Algorithm/2. Introduction & Setting up the Project.srt 7.8 kB
  • 5. Fruit & Vegetable Classifier/6. Building our Neural Network - Part 2.srt 7.7 kB
  • 5. Fruit & Vegetable Classifier/5. Building our Neural Network - Part 1.srt 7.4 kB
  • 8. Sketch2Real GAN App/7. Adding Logic & New Screen.srt 7.2 kB
  • 3. Cat and Dog Classifier/9. Adding Logic to app & Finalizing.srt 7.0 kB
  • 9. BONUS Sketch2Real Extension/1. Adding library image as input!.srt 6.9 kB
  • 7. Image-To-Text NLP Algorithm/4. Creating Functions in Home.srt 6.5 kB
  • 7. Image-To-Text NLP Algorithm/5. Connecting to API Service Red Hat.srt 6.3 kB
  • 8. Sketch2Real GAN App/4. Drawing functionality - Part 2.srt 6.2 kB
  • 7. Image-To-Text NLP Algorithm/3. Setting up Home - Part 2.srt 6.2 kB
  • 1. Introduction to Course/1. Course Introduction.srt 6.2 kB
  • 8. Sketch2Real GAN App/2. Setting up Home.srt 6.1 kB
  • 4. Flower Classifier/5. Setting up Home - Part 3.srt 6.0 kB
  • 7. Image-To-Text NLP Algorithm/2. Setting up Home - Part 1.srt 6.0 kB
  • 5. Fruit & Vegetable Classifier/4. Getting Dataset & Starting new Notebook.srt 6.0 kB
  • 8. Sketch2Real GAN App/10. Reviewing our Neural Network.srt 5.6 kB
  • 4. Flower Classifier/2. Setting up the Project.srt 5.5 kB
  • 6. Sentiment Analysis NLP Algorithm/4. Setting up Home - Part 2.srt 5.4 kB
  • 4. Flower Classifier/9. Finishing and Testing our app!.srt 5.1 kB
  • 3. Cat and Dog Classifier/4. Setting up Home - Part 1.srt 4.8 kB
  • 6. Sentiment Analysis NLP Algorithm/3. Setting up Home - Part 1.srt 4.6 kB
  • 6. Sentiment Analysis NLP Algorithm/5. Setting up Home - Part 3.srt 4.6 kB
  • 5. Fruit & Vegetable Classifier/3. Setting up Home.srt 4.3 kB
  • 3. Cat and Dog Classifier/2. Introduction.srt 4.1 kB
  • 1. Introduction to Course/3. Installing Flutter on Mac & Windows.srt 3.8 kB
  • 8. Sketch2Real GAN App/1. Introduction & Setting up the Project.srt 3.8 kB
  • 1. Introduction to Course/Read Me First.txt 3.8 kB
  • 2. Sign Language Detector in Teachable Machine/Read Me First.txt 3.8 kB
  • 3. Cat and Dog Classifier/Read Me First.txt 3.8 kB
  • 4. Flower Classifier/Read Me First.txt 3.8 kB
  • 5. Fruit & Vegetable Classifier/Read Me First.txt 3.8 kB
  • 6. Sentiment Analysis NLP Algorithm/Read Me First.txt 3.8 kB
  • 7. Image-To-Text NLP Algorithm/Read Me First.txt 3.8 kB
  • 8. Sketch2Real GAN App/Read Me First.txt 3.8 kB
  • 9. BONUS Sketch2Real Extension/Read Me First.txt 3.8 kB
  • 9. BONUS Sketch2Real Extension/2. Finding a larger Edges2Shoes dataset & other Pix2Pix Datasets!.srt 3.3 kB
  • 4. Flower Classifier/6. Google Collab Introduction.srt 3.2 kB
  • 4. Flower Classifier/4. Setting up Home - Part 2.srt 3.1 kB
  • 3. Cat and Dog Classifier/8. Taking Photo & Gallery Image Functionality.srt 2.8 kB
  • 5. Fruit & Vegetable Classifier/2. Introduction & Setting up the Project.srt 2.5 kB
  • 8. Sketch2Real GAN App/6. Clear Sketch Functionality.srt 1.9 kB
  • 1. Introduction to Course/2. Extensions on VS Code used in Course.srt 1.8 kB
  • 6. Sentiment Analysis NLP Algorithm/1. Sentiment Analysis App Review.srt 1.7 kB
  • 5. Fruit & Vegetable Classifier/1. IFruit App Review.srt 1.4 kB
  • 4. Flower Classifier/1. Introduction.srt 1.3 kB
  • 3. Cat and Dog Classifier/1. CatvsDog Detector App Review.srt 817 Bytes
  • 1. Introduction to Course/tutflix.org.url 42 Bytes
  • 2. Sign Language Detector in Teachable Machine/tutflix.org.url 42 Bytes
  • 3. Cat and Dog Classifier/tutflix.org.url 42 Bytes
  • 4. Flower Classifier/tutflix.org.url 42 Bytes
  • 5. Fruit & Vegetable Classifier/tutflix.org.url 42 Bytes
  • 6. Sentiment Analysis NLP Algorithm/tutflix.org.url 42 Bytes
  • 7. Image-To-Text NLP Algorithm/tutflix.org.url 42 Bytes
  • 8. Sketch2Real GAN App/tutflix.org.url 42 Bytes
  • 9. BONUS Sketch2Real Extension/tutflix.org.url 42 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！