[DesireCourse Net] Udemy A Complete Guide on TensorFlow 2 0 using Keras API


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Torrent File Content (284 files)


[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
    0. Websites you may like
          [CourseClub.Me].url -
48 bytes

          [DesireCourse.Net].url -
51 bytes

    1. Introduction
          1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 -
146.28 MB

          1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..srt -
26.42 KB

          2. Course Curriculum & Colab Toolkit.html -
464 bytes

          3. BONUS 10 advantages of TensorFlow.html -
613 bytes

          4. BONUS Learning Path.html -
1.37 KB

    10. Dataset Preprocessing with TensorFlow Transform (TFT)
          1. Project Setup.mp4 -
10.06 MB

          1. Project Setup.srt -
2.75 KB

          1.1 Google Colab TFT.html -
134 bytes

          1.2 pollution_small.csv -
72.71 KB

          2. Initial dataset preprocessing.mp4 -
34.99 MB

          2. Initial dataset preprocessing.srt -
8.35 KB

          3. Dataset metadata.mp4 -
20.93 MB

          3. Dataset metadata.srt -
4.79 KB

          4. Preprocessing function.mp4 -
21.11 MB

          4. Preprocessing function.srt -
6.04 KB

          5. Dataset preprocessing pipeline.mp4 -
73.97 MB

          5. Dataset preprocessing pipeline.srt -
10.65 KB

          6. What's next.html -
2.08 KB

    11. Fashion API with Flask and TensorFlow 2.0
          1. Project Setup.mp4 -
36.75 MB

          1. Project Setup.srt -
7.67 KB

          1.1 Flask API.zip -
372.37 KB

          2. Importing project dependencies.mp4 -
11.9 MB

          2. Importing project dependencies.srt -
2.53 KB

          3. Loading a pre-trained model.mp4 -
20.48 MB

          3. Loading a pre-trained model.srt -
3.9 KB

          4. Defining the Flask application.mp4 -
12.38 MB

          4. Defining the Flask application.srt -
1.77 KB

          5. Creating classify function.mp4 -
53.14 MB

          5. Creating classify function.srt -
5.6 KB

          6. Starting the Flask application.mp4 -
27.63 MB

          6. Starting the Flask application.srt -
2.74 KB

          7. Sending API requests over internet to the model.mp4 -
35.01 MB

          7. Sending API requests over internet to the model.srt -
4.48 KB

          [CourseClub.Me].url -
48 bytes

          [DesireCourse.Net].url -
51 bytes

    12. Image Classification API with TensorFlow Serving
          1. What is the TensorFlow Serving.mp4 -
24.47 MB

          1. What is the TensorFlow Serving.srt -
7.55 KB

          10. Sending the POST request to a specific model.mp4 -
9.64 MB

          10. Sending the POST request to a specific model.srt -
2.43 KB

          2. TensorFlow Serving architecture.mp4 -
19.5 MB

          2. TensorFlow Serving architecture.srt -
4.5 KB

          3. Project setup.mp4 -
25.53 MB

          3. Project setup.srt -
4.63 KB

          3.1 Google Colab TensorFlow Serving.html -
134 bytes

          4. Dataset preprocessing.mp4 -
23.72 MB

          4. Dataset preprocessing.srt -
5.08 KB

          5. Defining, training and evaluating a model.mp4 -
23.34 MB

          5. Defining, training and evaluating a model.srt -
3.4 KB

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