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[ DevCourseWeb com ] Udemy - Deep Learning - Neural Networks In Python Using Case Studies

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[ DevCourseWeb com ] Udemy - Deep Learning - Neural Networks In Python Using Case Studies

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Name:[ DevCourseWeb com ] Udemy - Deep Learning - Neural Networks In Python Using Case Studies

Infohash: 40E2BF8F24B3F83B90AE5063A7AEA1C4313996C3

Total Size: 2.41 GB

Seeds: 3

Leechers: 3

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-12 09:44:36 (Update Now)

Torrent added: 2024-02-01 19:30:52






Torrent Files List


Get Bonus Downloads Here.url (Size: 2.41 GB) (Files: 53)

 Get Bonus Downloads Here.url

0.18 KB

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  1 - Deep Learning Convolutional Neural Network CNN using Python

   1 - Introduction of Project.mp4

8.87 MB

   2 - Overview of CNN.mp4

13.78 MB

   3 - Installations and Dataset Structure.mp4

97.09 MB

   4 - Import libraries.mp4

25.33 MB

   5 - CNN Model and Layers Coding.mp4

44.47 MB

   6 - Data Preprocessing and Augmentation.mp4

26.22 MB

   7 - Understanding Data generator.mp4

49.14 MB

   8 - Prediction on Single Image.mp4

35.39 MB

   9 - Understanding Different Models and Accuracy.mp4

58.80 MB

  2 - Deep Learning Artificial Neural Network ANN using Python

   10 - Introduction of Project.mp4

5.85 MB

   11 - Setup Environment for ANN.mp4

46.64 MB

   12 - ANN Installation.mp4

101.20 MB

   13 - Import Libraries and Data Preprocessing.mp4

36.63 MB

   14 - Data Preprocessing.mp4

76.32 MB

   15 - Data Preprocessing Continue.mp4

85.66 MB

   16 - Data Exploration.mp4

68.45 MB

   17 - Encoding.mp4

50.25 MB

   18 - Encoding Continue.mp4

35.29 MB

   19 - Preparation of Dataset for Training.mp4

26.28 MB

   20 - Steps to Build ANN Part 1.mp4

36.00 MB

   21 - Steps to Build ANN Part 2.mp4

42.78 MB

   22 - Steps to Build ANN Part 3.mp4

22.25 MB

   23 - Steps to Build ANN Part 4.mp4

46.43 MB

   24 - Predictions.mp4

44.35 MB

   25 - Predictions Continue.mp4

40.50 MB

   26 - Resampling Data with ImbalanceLearn.mp4

64.77 MB

   27 - Resampling Data with ImbalanceLearn Continue.mp4

124.86 MB

  3 - Deep Learning RNN LSTM Stock Price Prognostics using Python

   28 - Introduction of Project.mp4

14.27 MB

   29 - Installation.mp4

62.29 MB

   30 - Libraries.mp4

99.07 MB

   31 - Dataset Explore.mp4

93.46 MB

   32 - Import Libraries.mp4

20.10 MB

   33 - Data Preprocessing.mp4

48.25 MB

   34 - Exploratory Data Analysis.mp4

47.38 MB

   35 - Exploratory Data Analysis Continue.mp4

53.00 MB

   36 - Feature Scaling.mp4

60.36 MB

   37 - Feature Scaling Continue.mp4

49.34 MB

   38 - More on Feature Scaling.mp4

29.57 MB

   39 - Building RNN.mp4

43.57 MB

   40 - Building RNN Continue.mp4

26.17 MB

   41 - Training of Network.mp4

53.25 MB

   42 - Prediction on Test Data.mp4

60.74 MB

   43 - Prediction on Test Data Continue.mp4

70.17 MB

   44 - Final Result Visualization.mp4

37.15 MB

  4 - Deep Learning Project using Convolutional Neural Network CNN in Python

   45 - Introduction to Project.mp4

14.02 MB

   46 - Google Collab.mp4

15.62 MB

   47 - Importing Packages and Data.mp4

21.96 MB

   48 - Preprocessing and Model Creation.mp4

36.17 MB

   49 - Training the Model and Prediction.mp4

50.11 MB

   50 - Model Creation using CNN.mp4

88.81 MB

   51 - CNN Model Prediction.mp4

60.69 MB

  Bonus Resources.txt

0.38 KB
 

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