Udemy AI Build a Object Recognition App with Python and Angular

Udemy AI Build a Object Recognition App with Python and Angular


Files Included :

1 – Introduction.mp4 (38.27 MB)
2 – AI Machine Learning and Deep Learning.mp4 (40.12 MB)
3 – Convulent Neural Networks CNNs.mp4 (17.2 MB)
4 – Installing VSCode.mp4 (11.6 MB)
5 – VSCode Extensions.mp4 (14.96 MB)
6 – Best way to take advantage of this course.mp4 (65.45 MB)
10 – Installing and running FastAPI.mp4 (21.06 MB)
11 – Another Example Route.mp4 (23.65 MB)
12 – Running the server with Uvicorn.mp4 (16.12 MB)
13 – Installing packages using requirementstxt.mp4 (19.23 MB)
7 – What is Python and FastAPI.mp4 (129.53 MB)
8 – Installing Python for MacOS.mp4 (17.18 MB)
9 – Installing Python for Windows.mp4 (12.44 MB)
14 – What is Angular and Typescript.mp4 (30.59 MB)
15 – Angular CLI and creating first app.mp4 (24.25 MB)
16 – Creating ImageControl Component.mp4 (31.65 MB)
17 – First Template and Conditions.mp4 (33.93 MB)
18 – Inputs and Continuing Template.mp4 (33.38 MB)
20 – Adding MobileNetV2 SSD and COCO Model DataSet.mp4 (21.82 MB)
20 – ssd-mobilenet-v2-coco.zip (179.22 MB)
21 – Loading PreTrained Model Into App.mp4 (16.07 MB)
22 – Run Inference Function.mp4 (24.46 MB)
23 – Predict Route.mp4 (57.52 MB)
24 – LabelMap.mp4 (20.56 MB)
25 – Returning Results from Predict Route.mp4 (38.7 MB)
26 – images.zip (284.72 KB)
26 – Testing our Route.mp4 (20.46 MB)
27 – Creating Angular Service.mp4 (32.98 MB)
28 – Prediction Type.mp4 (10.23 MB)
29 – Upload Image Function in Service.mp4 (92.23 MB)
30 – Importing Service into Component.mp4 (24.24 MB)
31 – Finalizing Template.mp4 (46.99 MB)
32 – Provide HTTPClient.mp4 (16.28 MB)
33 – OnFile Selected.mp4 (28.9 MB)
34 – UploadImage Function.mp4 (32.38 MB)
35 – API Key.mp4 (23.37 MB)
36 – Handling Image Upload and Errors.mp4 (24.01 MB)
37 – Adding UploadImage to Template and NetworkError.mp4 (13.62 MB)
38 – Allow CORS.mp4 (24.3 MB)
39 – Testing the Results.mp4 (3.64 MB)
40 – Splitting into smaller components.mp4 (51.44 MB)
41 – Angular Inputs.mp4 (64.3 MB)
42 – Prediction Errors and Mistakes.mp4 (10.09 MB)
43 – Use cases and Limitations.mp4 (112.42 MB)

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