[DesireCourse.Net] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python torrent, magnet, bt

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[DesireCourse.Net] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python

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14D6D6EF2DB6317BA959D356DF9A36B2E4A3EF7A

Number of Files:

144

Content Size:

3.01GB

Convert On:

2020-10-11

Keywords:

DesireCourse Net Udemy Neural Networks ANN using Keras and TensorFlow in Python

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File Name

Size

0. Websites you may like/[CourseClub.Me].url

48B

0. Websites you may like/[DesireCourse.Net].url

51B

1. Introduction/1. Welcome to the course.mp4

21.42MB

1. Introduction/1. Welcome to the course.srt

3.15KB

1. Introduction/2. Introduction to Neural Networks and Course flow.mp4

29.08MB

1. Introduction/2. Introduction to Neural Networks and Course flow.srt

4.6KB

1. Introduction/3. Course resources.html

117B

1. Introduction/3.1 Files_ANN_Py.zip

10.51MB

1. Introduction/[CourseClub.Me].url

48B

1. Introduction/[DesireCourse.Net].url

51B

10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4

10.81MB

10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt

1.87KB

10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4

79.14MB

10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt

11.96KB

10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4

81.71MB

10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt

9.59KB

10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4

69.93MB

10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt

9.02KB

10. Python - Building and training the Model/[CourseClub.Me].url

48B

10. Python - Building and training the Model/[DesireCourse.Net].url

51B

11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4

155.88MB

11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt

21.71KB

12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4

92.12MB

12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt

11.5KB

13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4

151.58MB

13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt

18.79KB

14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4

60.63MB

14. Hyperparameter Tuning/1. Hyperparameter Tuning.srt

9.43KB

14. Hyperparameter Tuning/[CourseClub.Me].url

48B

14. Hyperparameter Tuning/[DesireCourse.Net].url

51B

15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp4

22.29MB

15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.srt

3.9KB

15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.mp4

25.01MB

15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.srt

4.08KB

15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.mp4

23.42MB

15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.srt

4.06KB

15. Add-on 1 Data Preprocessing/12. Seasonality in Data.mp4

17.03MB

15. Add-on 1 Data Preprocessing/12. Seasonality in Data.srt

3.78KB

15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4

100.43MB

15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.srt

18.29KB

15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp4

44.09MB

15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.srt

7.54KB

15. Add-on 1 Data Preprocessing/15. Non-usable variables.mp4

20.25MB

15. Add-on 1 Data Preprocessing/15. Non-usable variables.srt

5.39KB

15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.mp4

36.83MB

15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.srt

4.86KB

15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.mp4

26.53MB

15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.srt

5.51KB

15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4

71.6MB

15. Add-on 1 Data Preprocessing/18. Correlation Analysis.srt

11.04KB

15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.mp4

55.31MB

15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.srt

6.55KB

15. Add-on 1 Data Preprocessing/2. Data Exploration.mp4

20.52MB

15. Add-on 1 Data Preprocessing/2. Data Exploration.srt

3.6KB

15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4

69.37MB

15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.srt

7.82KB

15. Add-on 1 Data Preprocessing/4. Add-on Resources.html

131B

15. Add-on 1 Data Preprocessing/4.1 Files_linear_py.zip

8.89MB

15. Add-on 1 Data Preprocessing/5. Importing Data in Python.mp4

27.83MB

15. Add-on 1 Data Preprocessing/5. Importing Data in Python.srt

5.58KB

15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.mp4

24.2MB

15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.srt

3.44KB

15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4

61.78MB

15. Add-on 1 Data Preprocessing/7. EDD in Python.srt

10.36KB

15. Add-on 1 Data Preprocessing/8. Outlier Treatment.mp4

24.47MB

15. Add-on 1 Data Preprocessing/8. Outlier Treatment.srt

4.46KB

15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4

70.23MB

15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.srt

13KB

16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp4

9.38MB

16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.srt

1.61KB

16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp4

41.88MB

16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.srt

10.05KB

16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp4

25.11MB

16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.srt

6.37KB

16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp4

44.87MB

16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.srt

8.05KB

16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4

43.36MB

16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.srt

9.89KB

16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4

92.14MB

16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.srt

15.85KB

16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4

43.63MB

16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.srt

8.02KB

16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4

63.43MB

16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.srt

11.36KB

16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp4

34.33MB

16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.srt

5.73KB

16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp4

56.01MB

16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.srt

9.02KB

16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp4

22.51MB

16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.srt

5.29KB

16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4

69.75MB

16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.srt

12.34KB

17. Practice Assignment/1. Neural Networks Classification Assignment.html

173B

17. Practice Assignment/[CourseClub.Me].url

48B

17. Practice Assignment/[DesireCourse.Net].url

51B

18. Bonus Section/1. Congratulations & About your certificate.html

1.6KB

2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4

16.27MB

2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt

2.58KB

2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4

65.17MB

2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.srt

9.14KB

2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4

40.92MB

2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.srt

12.31KB

2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4

12.75MB

2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.srt

3.99KB

2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4

64.43MB

2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.srt

16.43KB

2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4

60.32MB

2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.srt

17.01KB

2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4

43.88MB

2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.srt

10.47KB

2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4

46.9MB

2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.srt

8.15KB

2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4

40.36MB

2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.srt

7.53KB

3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4

44.77MB

3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt

9.69KB

3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4

34.62MB

3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt

7.85KB

3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4

86.6MB

3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt

14.53KB

4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4

40.42MB

4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt

9.52KB

4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4

60.33MB

4. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt

11.93KB

4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4

122.2MB

4. Neural Networks - Stacking cells to create network/3. Back Propagation.srt

22.78KB

5. Important concepts Common Interview questions/1. Some Important Concepts.mp4

62.17MB

5. Important concepts Common Interview questions/1. Some Important Concepts.srt

13.1KB

5. Important concepts Common Interview questions/2. Quiz.html

169B

5. Important concepts Common Interview questions/[CourseClub.Me].url

48B

5. Important concepts Common Interview questions/[DesireCourse.Net].url

51B

6. Standard Model Parameters/1. Hyperparameters.mp4

45.36MB

6. Standard Model Parameters/1. Hyperparameters.srt

8.95KB

7. Practice Test/1. Test your conceptual understanding.html

169B

8. Tensorflow and Keras/1. Keras and Tensorflow.mp4

14.92MB

8. Tensorflow and Keras/1. Keras and Tensorflow.srt

3.56KB

8. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4

20.07MB

8. Tensorflow and Keras/2. Installing Tensorflow and Keras.srt

3.79KB

9. Python - Dataset for classification problem/1. Dataset for classification.mp4

56.13MB

9. Python - Dataset for classification problem/1. Dataset for classification.srt

7.16KB

9. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4

44.2MB

9. Python - Dataset for classification problem/2. Normalization and Test-Train split.srt

5.73KB

[CourseClub.Me].url

48B

[DesireCourse.Net].url

51B

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