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[DesireCourse Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning

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[DesireCourse Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning

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Name:[DesireCourse Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning

Infohash: 563666B3C54B511537BA28B4722BD573F760952B

Total Size: 5.65 GB

Seeds: 0

Leechers: 1

Stream: Watch Full Movie @ Movie4u

Last Updated: 2022-11-21 05:43:39 (Update Now)

Torrent added: 2019-05-19 09:30:47






Torrent Files List


1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools (Size: 5.65 GB) (Files: 214)

 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools

  1. Introduction to the Course.mp4

9.87 MB

  1. Introduction to the Course.vtt

3.06 KB

  10. Written Keras Installation Instructions.html

1.70 KB

  2. Data and Scripts For the Course.html

0.17 KB

  2.1 Data.zip.zip

532.36 MB

  3. Python Data Science Environment.mp4

94.25 MB

  3. Python Data Science Environment.vtt

10.87 KB

  4. For Mac Users.mp4

50.18 MB

  4. For Mac Users.vtt

4.05 KB

  5. Introduction to IPython.mp4

101.00 MB

  5. Introduction to IPython.vtt

18.28 KB

  6. Install Tensorflow.mp4

167.82 MB

  6. Install Tensorflow.vtt

14.85 KB

  7. Written Tensorflow Installation Instructions.html

0.16 KB

  8. Install Keras on Windows 10.mp4

82.92 MB

  8. Install Keras on Windows 10.vtt

4.52 KB

  9. Install Keras on Mac.mp4

77.09 MB

  9. Install Keras on Mac.vtt

3.34 KB

 10. Convolution Neural Network (CNN) For Image Analysis

  1. Introduction to CNN.mp4

183.49 MB

  1. Introduction to CNN.vtt

12.83 KB

  10. CNN With Keras.mp4

37.80 MB

  10. CNN With Keras.vtt

3.97 KB

  10.1 cnn_keras.txt.txt

1.95 KB

  11. CNN on Image Data with Keras-Part 1.mp4

24.40 MB

  11. CNN on Image Data with Keras-Part 1.vtt

2.36 KB

  12. CNN on Image Data with Keras-Part 2.mp4

40.73 MB

  12. CNN on Image Data with Keras-Part 2.vtt

4.93 KB

  12.1 planesnet.json.json

181.82 MB

  12.2 cnn_keras-planets.txt.txt

3.12 KB

  2. Implement a CNN for Multi-Class Supervised Classification.mp4

79.45 MB

  2. Implement a CNN for Multi-Class Supervised Classification.vtt

6.68 KB

  3. Activation Functions.mp4

91.28 MB

  3. Activation Functions.vtt

6.35 KB

  4. More on CNN.mp4

48.08 MB

  4. More on CNN.vtt

4.13 KB

  5. Pre-Requisite For Working With Imagery Data.mp4

20.06 MB

  5. Pre-Requisite For Working With Imagery Data.vtt

2.37 KB

  5.1 Lecture 64_cnn image.txt.txt

0.14 KB

  6. CNN on Image Data-Part 1.mp4

108.91 MB

  6. CNN on Image Data-Part 1.vtt

9.49 KB

  6.1 Lecture 65_cnn_cat dog.txt.txt

3.04 KB

  7. CNN on Image Data-Part 2.mp4

71.10 MB

  7. CNN on Image Data-Part 2.vtt

6.16 KB

  7.1 NIKEAD.zip.zip

10.17 MB

  7.2 tflearn_shoes.txt.txt

4.51 KB

  8. More on TFLearn.mp4

74.39 MB

  8. More on TFLearn.vtt

7.90 KB

  8.1 Lecture 66_cnn_planet.txt.txt

2.75 KB

  9. CNN Workflow for Keras.mp4

36.25 MB

  9. CNN Workflow for Keras.vtt

4.33 KB

 11. Autoencoders With Convolution Neural Networks (CNN)

  1. Autoencoders for With CNN- Tensorflow.mp4

66.25 MB

  1. Autoencoders for With CNN- Tensorflow.vtt

6.32 KB

  2. Autoencoders for With CNN- Keras.mp4

41.12 MB

  2. Autoencoders for With CNN- Keras.vtt

4.61 KB

  2.1 keras auto.txt.txt

2.05 KB

 12. Recurrent Neural Networks (RNN)

  1. Theory Behind RNNs.mp4

57.21 MB

  1. Theory Behind RNNs.vtt

5.29 KB

  2. LSTM For Time Series Data.mp4

52.35 MB

  2. LSTM For Time Series Data.vtt

6.18 KB

  2.1 international-airline-passengers.csv.csv

2.28 KB

  3. LSTM for Predicting Stock Prices.mp4

72.32 MB

  3. LSTM for Predicting Stock Prices.vtt

7.60 KB

  3.1 all_stocks_5yr.csv.csv

28.21 MB

  3.2 lstm_stock.txt.txt

2.02 KB

 13. Miscellaneous Section

  1. Use Colabs for Jupyter Data Science.mp4

43.92 MB

  1. Use Colabs for Jupyter Data Science.vtt

6.52 KB

  1.1 colab.txt.txt

0.10 KB

 2. Introduction to Python Data Science Packages

  1. Python Packages for Data Science.mp4

36.42 MB

  1. Python Packages for Data Science.vtt

3.97 KB

  2. Introduction to Numpy.mp4

31.19 MB

  2. Introduction to Numpy.vtt

3.95 KB

  3. Create Numpy Arrays.mp4

63.30 MB

  3. Create Numpy Arrays.vtt

6.10 KB

  3.1 numpy create.txt.txt

0.46 KB

  4. Numpy Operations.mp4

111.82 MB

  4. Numpy Operations.vtt

15.64 KB

  4.1 numpy op.txt.txt

1.42 KB

  5. Numpy for Statistical Operation.mp4

47.83 MB

  5. Numpy for Statistical Operation.vtt

6.91 KB

  5.1 numpy stats.txt.txt

0.54 KB

  6. Introduction to Pandas.mp4

84.65 MB

  6. Introduction to Pandas.vtt

10.47 KB

  7. Read in Data from CSV.mp4

53.72 MB

  7. Read in Data from CSV.vtt

6.05 KB

  7.1 bostonTxt.txt.txt

17.16 KB

  7.2 read csv_pd.txt.txt

0.50 KB

  7.3 winequality-red.csv.csv

82.23 KB

  7.4 Resp2.csv.csv

0.27 KB

  8. Read in Data from Excel.mp4

42.34 MB

  8. Read in Data from Excel.vtt

3.76 KB

  8.1 boston1.xls.xls

73.50 KB

  8.2 read excel_pd.txt.txt

0.29 KB

  9. Basic Data Cleaning.mp4

37.53 MB

  9. Basic Data Cleaning.vtt

4.09 KB

 3. Introduction to TensorFlow

  1. A Brief Touchdown.mp4

21.10 MB

  1. A Brief Touchdown.vtt

1.72 KB

  2. A Brief Touchdown Computational Graphs.mp4

11.25 MB

  2. A Brief Touchdown Computational Graphs.vtt

2.14 KB

  3. Common Mathematical Operators in Tensorflow.html

0.48 KB

  4. A Tensorflow Session.mp4

28.30 MB

  4. A Tensorflow Session.vtt

3.89 KB

  4.1 Lecture 17_tf session.txt.txt

0.54 KB

  5. Interactive Tensorflow Session.mp4

11.28 MB

  5. Interactive Tensorflow Session.vtt

1.50 KB

  5.1 Lecture 18_interactive session.txt.txt

0.25 KB

  6. Constants and Variables in Tensorflow.mp4

25.87 MB

  6. Constants and Variables in Tensorflow.vtt

3.86 KB

  6.1 Lecture 19_constant var.txt.txt

0.74 KB

  7. Placeholders in Tensorflow.mp4

31.46 MB

  7. Placeholders in Tensorflow.vtt

3.71 KB

  7.1 Lecture 26_place.txt.txt

0.68 KB

 4. Introduction to Keras

  1. What is Keras.mp4

23.92 MB

  1. What is Keras.vtt

3.63 KB

 5. Some Preliminary Tensorflow and Keras Applications

  1. Theory of Linear Regression (OLS).mp4

112.72 MB

  1. Theory of Linear Regression (OLS).vtt

10.63 KB

  10. Accuracy Assessment For Binary Classification.mp4

62.96 MB

  10. Accuracy Assessment For Binary Classification.vtt

4.91 KB

  11. Linear Classification with Binary Classification With Mixed Predictors.mp4

88.84 MB

  11. Linear Classification with Binary Classification With Mixed Predictors.vtt

7.14 KB

  11.1 titanic.csv.csv

59.76 KB

  11.2 Lecture 38_Linear classifier_mixed pred.txt.txt

2.77 KB

  12. Softmax Classification With Tensorflow.mp4

69.98 MB

  12. Softmax Classification With Tensorflow.vtt

6.25 KB

  2. OLS From First Principles.mp4

74.98 MB

  2. OLS From First Principles.vtt

8.56 KB

  2.1 Lecture 29_ols reg.txt.txt

2.75 KB

  3. Visualize the Results of OLS.mp4

26.53 MB

  3. Visualize the Results of OLS.vtt

3.10 KB

  3.1 Lecture 30_Viz.txt.txt

1.00 KB

  4. Multiple Regression With Tensorflow-Part 1.mp4

46.44 MB

  4. Multiple Regression With Tensorflow-Part 1.vtt

3.91 KB

  4.1 Lecture 31_ML Reg.txt.txt

2.22 KB

  5. Estimate With Tensorflow Estimators.mp4

11.55 MB

  5. Estimate With Tensorflow Estimators.vtt

2.84 KB

  6. Multiple Regression With Tensorflow Estimators.mp4

58.76 MB

  6. Multiple Regression With Tensorflow Estimators.vtt

4.76 KB

  7. More on Linear Regressor Estimator.mp4

98.57 MB

  7. More on Linear Regressor Estimator.vtt

7.32 KB

  7.1 Lecture 34_linear regressor_csv data.txt.txt

3.51 KB

  7.2 listings.csv.csv

14.07 MB

  8. GLM Generalized Linear Model.mp4

45.97 MB

  8. GLM Generalized Linear Model.vtt

5.36 KB

  9. Linear Classifier For Binary Classification.mp4

107.26 MB

  9. Linear Classifier For Binary Classification.vtt

6.21 KB

  9.1 creditcard.csv.csv

143.84 MB

  9.2 Lecture 36_linear classifier python.txt.txt

3.03 KB

 6. Some Basic Concepts

  1. What is Machine Learning.mp4

91.35 MB

  1. What is Machine Learning.vtt

6.71 KB

  2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4

107.02 MB

  2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).vtt

10.21 KB

 7. Unsupervised Learning With Tensorflow and Keras

  1. What is Unsupervised Learning.mp4

30.60 MB

  1. What is Unsupervised Learning.vtt

1.90 KB

  2. Autoencoders for Unsupervised Classification.mp4

21.16 MB

  2. Autoencoders for Unsupervised Classification.vtt

1.90 KB

  3. Autoencoders in Tensorflow (Binary Class Problem).mp4

70.56 MB

  3. Autoencoders in Tensorflow (Binary Class Problem).vtt

6.38 KB

  3.1 creditcard.csv.csv

143.85 MB

  3.2 Lecture 44_autoencoder_binary.txt.txt

2.93 KB

  4. Autoencoders in Tensorflow (Multiple Classes).mp4

56.49 MB

  4. Autoencoders in Tensorflow (Multiple Classes).vtt

5.31 KB

  5. Autoencoders in Keras (Simple).mp4

53.18 MB

  5. Autoencoders in Keras (Simple).vtt

5.20 KB

  5.1 Lecture 47_keras_autoencoder.txt.txt

2.37 KB

  6. Autoencoders in Keras (Sparsity Constraints).mp4

37.71 MB

  6. Autoencoders in Keras (Sparsity Constraints).vtt

4.03 KB

  6.1 Lecture 48_keras_auto-regu.txt.txt

2.20 KB

  7. Deep Autoencoder With Keras.mp4

68.09 MB

  7. Deep Autoencoder With Keras.vtt

7.86 KB

  7.1 creditcard.csv.csv

143.85 MB

  7.2 Lecture 49_deep auto.txt.txt

3.18 KB

 8. Neural Network for Tensorflow & Keras

  1. Multi Layer Perceptron (MLP) with Tensorflow.mp4

61.32 MB

  1. Multi Layer Perceptron (MLP) with Tensorflow.vtt

5.65 KB

  1.1 Lecture 49_mlp_mnist.txt.txt

2.70 KB

  2. Multi Layer Perceptron (MLP) With Keras.mp4

32.19 MB

  2. Multi Layer Perceptron (MLP) With Keras.vtt

3.62 KB

  2.1 lect 50_keras-mlp1.txt.txt

1.54 KB

  3. Keras MLP For Binary Classification.mp4

36.73 MB

  3. Keras MLP For Binary Classification.vtt

3.70 KB

  3.1 lect 50_keras mlp-binary.txt.txt

1.42 KB

  3.2 sonar.csv.csv

85.72 KB

  4. Keras MLP for Multiclass Classification.mp4

50.62 MB

  4. Keras MLP for Multiclass Classification.vtt

4.89 KB

  4.1 lect 51_keras mlp-mc.txt.txt

1.42 KB

  4.2 iris1.csv.csv

4.44 KB

  5. Keras MLP for Regression.mp4

30.36 MB

  5. Keras MLP for Regression.vtt

3.10 KB

  5.1 housing.csv.csv

47.93 KB

  5.2 lect 52_keras-regression.txt.txt

1.15 KB

 9. Deep Learning For Tensorflow & Keras

  1. What is Artificial Intelligence.mp4

99.53 MB

  1. What is Artificial Intelligence.vtt

9.10 KB

  2. Deep Neural Network (DNN) Classifier With Tensorflow.mp4

62.68 MB

  2. Deep Neural Network (DNN) Classifier With Tensorflow.vtt

5.95 KB

  2.1 Iris.csv.csv

4.99 KB

  2.2 Lecture 54_dnnclass.txt.txt

1.24 KB

  3. Deep Neural Network (DNN) Classifier With Mixed Predictors.mp4

83.75 MB

  3. Deep Neural Network (DNN) Classifier With Mixed Predictors.vtt

6.72 KB

  3.1 titanic.csv.csv

59.76 KB

  3.2 Lecture 55_dnnclass_titanic.txt.txt

3.31 KB

  4. Deep Neural Network (DNN) Regression With Tensorflow.mp4

51.18 MB

  4. Deep Neural Network (DNN) Regression With Tensorflow.vtt

4.58 KB

  4.1 Lecture 56_dnnreg.txt.txt

1.08 KB

  5. Wide & Deep Learning (Tensorflow).mp4

122.90 MB

  5. Wide & Deep Learning (Tensorflow).vtt

9.58 KB

  5.1 Lecture 57_dnn_wide-deep.txt.txt

6.86 KB

  6. DNN Classifier With Keras.mp4

30.00 MB

  6. DNN Classifier With Keras.vtt

3.00 KB

  6.1 pima-indians-diabetes.csv.csv

22.73 KB

  6.2 lect 58_dnn-keras.txt.txt

0.86 KB

  7. DNN Classifier With Keras-Example 2.mp4

42.43 MB

  7. DNN Classifier With Keras-Example 2.vtt

3.95 KB

  7.1 lect 59_dnn_keras-2.txt.txt

1.38 KB

  7.2 creditcard.csv.csv

143.84 MB

 [CourseClub.Me].url

0.05 KB

 [DesireCourse.Net].url

0.05 KB
 

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