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种子名称： [FreeCourseSite.com] Udemy - Flutter Artificial Intelligence Course - Build 15+ AI Apps
文件类型： 视频
文件数目： 85个文件
文件大小： 4.59 GB
收录时间： 2022-7-6 12:59
已经下载： 3次
资源热度： 255
最近下载： 2024-12-15 05:22

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[FreeCourseSite.com] Udemy - Flutter Artificial Intelligence Course - Build 15+ AI Apps.torrent

1. Introduction/1. Course Introduction.mp4136.52MB

10. Pose Estimation App/1. Create and Setup Project.mp428.63MB

10. Pose Estimation App/2. Add Splash Screen.mp443.98MB

10. Pose Estimation App/3. Create Home Page.mp410.68MB

10. Pose Estimation App/4. Implement Live Camera Function.mp456.84MB

10. Pose Estimation App/5. Add Model and Load Model.mp444.24MB

10. Pose Estimation App/6. Run Model on Stream Frame.mp419.21MB

10. Pose Estimation App/7. Finish the App and Testing the App.mp474.84MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/1. Create Project & Setup Everything.mp424.15MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/2. Add Splash Screen.mp458.87MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/3. Create Home Page.mp47.8MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/4. Initialise Live Camera.mp446.81MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/5. Implement Live Camera Function.mp482.55MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/6. Add Model in our Project and Load Model.mp449.7MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/7. Run Model on Camera Stream Frames.mp449.35MB

11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/8. Finish the App and Testing the App.mp438.15MB

12. Dogs Breed Identifier App/1. Create and Setup New Project.mp421.71MB

12. Dogs Breed Identifier App/2. Splash Screen.mp440.79MB

12. Dogs Breed Identifier App/3. Implement Live Camera Feature for Dogs Breed Recognition.mp456.52MB

12. Dogs Breed Identifier App/4. Load Model and Run Model for Dog's Breed Live Identification.mp438.64MB

12. Dogs Breed Identifier App/5. Finishing the App and Testing the App.mp426.38MB

13. Fruits Recogniser App/1. Create New Project and Installing Dependencies.mp429.93MB

13. Fruits Recogniser App/2. Splash Screen.mp429.71MB

13. Fruits Recogniser App/3. Implement Live Camera Feature.mp433.82MB

13. Fruits Recogniser App/4. Load Model and Run Model.mp426.58MB

13. Fruits Recogniser App/5. Finishing the App and Testing the App.mp416.54MB

14. Face Detection App - (Google Machine Learning Vision)/1. Create and Setup Project.mp421.5MB

14. Face Detection App - (Google Machine Learning Vision)/2. Add Splash Screen and Installing Dependencies.mp429.6MB

14. Face Detection App - (Google Machine Learning Vision)/3. Setup the Google Machine Learning Vision.mp467.76MB

14. Face Detection App - (Google Machine Learning Vision)/4. Image Stream Frame Scanner Utils.mp491.96MB

14. Face Detection App - (Google Machine Learning Vision)/5. Implement Live Camera Stream Feature.mp497.65MB

14. Face Detection App - (Google Machine Learning Vision)/6. Toggle between Front Camera and Back Camera.mp445.25MB

14. Face Detection App - (Google Machine Learning Vision)/7. Perform Face Detection on Camera Stream Frame.mp424.84MB

14. Face Detection App - (Google Machine Learning Vision)/8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame.mp487.26MB

14. Face Detection App - (Google Machine Learning Vision)/9. Finishing the app and Testing the app.mp424.23MB

2. Complete Setup -- Download & Install Flutter SDK/1. For Windows Users - Flutter Complete Setup.mp4113.66MB

2. Complete Setup -- Download & Install Flutter SDK/2. For MAC Users - Flutter Complete Setup.mp4318.88MB

3. Cat vs Dog Detector App/1. Creating Project and Installing Dependences.mp433.15MB

3. Cat vs Dog Detector App/2. Adding SplashScreen.mp477.95MB

3. Cat vs Dog Detector App/3. Creating Home Page.mp435.7MB

3. Cat vs Dog Detector App/4. Home Page Design - Completed.mp4123.73MB

3. Cat vs Dog Detector App/5. Downloading Dataset and Perform Training on Dataset - Get Trained Model.mp456.95MB

3. Cat vs Dog Detector App/6. Adding TFlite Functions.mp469.2MB

3. Cat vs Dog Detector App/7. Creating Functions for Capturing Image and Pick Image from Gallery.mp423.33MB

3. Cat vs Dog Detector App/8. Completing App and Texting the App.mp447.96MB

4. Face Mask Detection App/1. create new project.mp422.4MB

4. Face Mask Detection App/2. Add Splash Screen.mp448.57MB

4. Face Mask Detection App/3. Implement Live Camera Feature.mp4120.13MB

4. Face Mask Detection App/4. Add and Load TfLite Model for Face Mask Detection.mp426.55MB

4. Face Mask Detection App/5. Run Model on Camera Stream Frames.mp432.78MB

4. Face Mask Detection App/6. Finishing the App and Testing the App.mp422.89MB

5. Cats Breed Identifier App/1. Ceating and Setting up the project.mp430.55MB

5. Cats Breed Identifier App/2. Completing the SplashScreen.mp478.38MB

5. Cats Breed Identifier App/3. Completing the Home Page Design.mp4116.32MB

5. Cats Breed Identifier App/4. Creating Funtions for Uploading and Capturing Photos.mp443.21MB

5. Cats Breed Identifier App/5. Download Model and Training it.mp477.2MB

5. Cats Breed Identifier App/6. Installing Tflite and ImagePicker.mp445.96MB

5. Cats Breed Identifier App/7. Adding Image Recognition Funtions and Testing our App.mp460.31MB

6. Flower Types Identifier App/1. Setup the Project & Everything.mp438.04MB

6. Flower Types Identifier App/2. Installing TfLite in our App.mp417.55MB

6. Flower Types Identifier App/3. Downloading our Dataset and Training our Model.mp451.29MB

6. Flower Types Identifier App/4. Creating Funtions and Testing our app.mp424.56MB

7. Avengers Characters Recogniser App/1. Setup the Project Ui & Everything.mp453.71MB

7. Avengers Characters Recogniser App/2. Download Dataset and Training our Model.mp461.49MB

7. Avengers Characters Recogniser App/3. Installing TfLite in our application.mp419.23MB

7. Avengers Characters Recogniser App/4. Creating Funtions and Testing our App.mp435.84MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/1. Create and Setting up Project.mp422.84MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/10. Implement Live Camera Stream Function.mp4133.96MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/11. Finalising the App and Testing the App.mp4206.03MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/2. Add Splash Screen.mp454.36MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/3. HomeScreen part 1.mp461.28MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/4. HomeScreen part 2.mp469.27MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/5. HomeScreen part 3.mp468.89MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/6. Implement Capture Image and Pick image from Gallery Functions.mp445.13MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/7. Create API Service.mp445.93MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/8. Get Image Caption Predictions Response from API.mp4119.65MB

8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/9. Calling the getResponse Function.mp47.87MB

9. Live Object Detection App/1. Create and Setup New Project.mp427.86MB

9. Live Object Detection App/2. Install Required Packages.mp428.12MB

9. Live Object Detection App/3. Implement Live Camera Function.mp488.63MB

9. Live Object Detection App/4. Add Object Detection Model to our Project.mp413.24MB

9. Live Object Detection App/5. Load Model into our Flutter Project.mp433.49MB

9. Live Object Detection App/6. Run Model on Stream Frame.mp441.88MB

9. Live Object Detection App/7. Implement Boxes Around Detected Objects Function.mp483.78MB

9. Live Object Detection App/8. Finishing the App and Testing the App.mp441.06MB