[FreeCourseSite.com] Udemy - Artificial Neural Networks (ANN) with Keras in Python and R
大小
4.03 GB
文件数
160
Info Hash:
64F133147741E9443960077C3A2C7B7CF603F1AB
收录时间
2025-12-20 18:23:06
更新时间
2025-12-20 21:27:20
文件列表 (160)
0. Websites you may like/[CourseClub.ME].url
122 B
0. Websites you may like/[FCS Forum].url
133 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Introduction.mp4
29.09 MB
1. Introduction/1. Introduction.srt
4.6 KB
1. Introduction/2. Course Resources.html
327 B
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4
10.81 MB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt
1.87 KB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4
79.15 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt
11.96 KB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4
81.65 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt
9.59 KB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4
69.87 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt
9.02 KB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4
130.72 MB
11. R - Building and training the Model/1. Building,Compiling and Training.srt
15.42 KB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4
99.25 MB
11. R - Building and training the Model/2. Evaluating and Predicting.srt
9.43 KB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4
155.87 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.srt
21.71 KB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4
92.14 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.srt
11.5 KB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4
131.14 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.srt
13.07 KB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4
79.57 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.srt
8.28 KB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4
151.63 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt
18.79 KB
15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4
216.09 MB
15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt
20.36 KB
16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4
60.63 MB
16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.srt
9.43 KB
17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4
60.63 MB
17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.srt
9.43 KB
18. Add on Data Preprocessing/1. Gathering Business Knowledge.mp4
22.29 MB
18. Add on Data Preprocessing/1. Gathering Business Knowledge.srt
3.9 KB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4
70.24 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.srt
13 KB
18. Add on Data Preprocessing/11. Outlier Treatment in R.mp4
30.74 MB
18. Add on Data Preprocessing/11. Outlier Treatment in R.srt
4.28 KB
18. Add on Data Preprocessing/12. Missing Value imputation.mp4
24.98 MB
18. Add on Data Preprocessing/12. Missing Value imputation.srt
4.08 KB
18. Add on Data Preprocessing/13. Missing Value Imputation in Python.mp4
23.41 MB
18. Add on Data Preprocessing/13. Missing Value Imputation in Python.srt
4.06 KB
18. Add on Data Preprocessing/14. Missing Value imputation in R.mp4
25.99 MB
18. Add on Data Preprocessing/14. Missing Value imputation in R.srt
3.46 KB
18. Add on Data Preprocessing/15. Seasonality in Data.mp4
17.03 MB
18. Add on Data Preprocessing/15. Seasonality in Data.srt
3.78 KB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4
100.47 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt
18.29 KB
18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.mp4
44.11 MB
18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.srt
7.54 KB
18. Add on Data Preprocessing/18. Variable transformation in R.mp4
55.43 MB
18. Add on Data Preprocessing/18. Variable transformation in R.srt
9.04 KB
18. Add on Data Preprocessing/19. Non Usable Variables.mp4
20.25 MB
18. Add on Data Preprocessing/19. Non Usable Variables.srt
5.39 KB
18. Add on Data Preprocessing/2. Data Exploration.mp4
20.52 MB
18. Add on Data Preprocessing/2. Data Exploration.srt
3.6 KB
18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
36.83 MB
18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt
4.86 KB
18. Add on Data Preprocessing/21. Dummy variable creation in Python.mp4
26.53 MB
18. Add on Data Preprocessing/21. Dummy variable creation in Python.srt
5.51 KB
18. Add on Data Preprocessing/22. Dummy variable creation in R.mp4
43.98 MB
18. Add on Data Preprocessing/22. Dummy variable creation in R.srt
5.19 KB
18. Add on Data Preprocessing/3. The Data and the Data Dictionary.mp4
69.33 MB
18. Add on Data Preprocessing/3. The Data and the Data Dictionary.srt
7.82 KB
18. Add on Data Preprocessing/3.1 House_Price.csv
53.49 KB
18. Add on Data Preprocessing/4. Importing Data in Python.mp4
27.83 MB
18. Add on Data Preprocessing/4. Importing Data in Python.srt
5.58 KB
18. Add on Data Preprocessing/5. Importing the dataset into R.mp4
13.1 MB
18. Add on Data Preprocessing/5. Importing the dataset into R.srt
2.6 KB
18. Add on Data Preprocessing/6. Univariate Analysis and EDD.mp4
24.21 MB
18. Add on Data Preprocessing/6. Univariate Analysis and EDD.srt
3.44 KB
18. Add on Data Preprocessing/7. EDD in Python.mp4
61.78 MB
18. Add on Data Preprocessing/7. EDD in Python.srt
10.36 KB
18. Add on Data Preprocessing/8. EDD in R.mp4
96.98 MB
18. Add on Data Preprocessing/8. EDD in R.srt
11.55 KB
18. Add on Data Preprocessing/9. Outlier Treatment.mp4
24.48 MB
18. Add on Data Preprocessing/9. Outlier Treatment.srt
4.46 KB
19. Test Train Split/1. Test-train split.mp4
41.87 MB
19. Test Train Split/1. Test-train split.srt
10.05 KB
19. Test Train Split/2. Bias Variance trade-off.mp4
25.09 MB
19. Test Train Split/2. Bias Variance trade-off.srt
6.37 KB
19. Test Train Split/3. Test train split in Python.mp4
44.86 MB
19. Test Train Split/3. Test train split in Python.srt
8.05 KB
19. Test Train Split/4. Test train split in R.mp4
75.62 MB
19. Test Train Split/4. Test train split in R.srt
8.37 KB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4
16.27 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt
2.58 KB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.mp4
40.35 MB
2. Setting up Python and Jupyter Notebook/10. Working with Seaborn Library of Python.srt
7.53 KB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.mp4
20.66 MB
2. Setting up Python and Jupyter Notebook/2. This is a milestone!.srt
3.78 KB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.mp4
65.2 MB
2. Setting up Python and Jupyter Notebook/3. Opening Jupyter Notebook.srt
9.14 KB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.mp4
40.92 MB
2. Setting up Python and Jupyter Notebook/4. Introduction to Jupyter.srt
12.31 KB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.mp4
12.74 MB
2. Setting up Python and Jupyter Notebook/5. Arithmetic operators in Python Python Basics.srt
3.99 KB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.mp4
64.44 MB
2. Setting up Python and Jupyter Notebook/6. Strings in Python Python Basics.srt
16.43 KB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.mp4
60.32 MB
2. Setting up Python and Jupyter Notebook/7. Lists, Tuples and Directories Python Basics.srt
17.01 KB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.mp4
43.88 MB
2. Setting up Python and Jupyter Notebook/8. Working with Numpy Library of Python.srt
10.47 KB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.mp4
46.89 MB
2. Setting up Python and Jupyter Notebook/9. Working with Pandas Library of Python.srt
8.15 KB
2. Setting up Python and Jupyter Notebook/9.1 Customer.csv
64.02 KB
2. Setting up Python and Jupyter Notebook/9.2 Product.txt
139.48 KB
20. Bonus Section/1. The final milestone!.mp4
11.87 MB
20. Bonus Section/1. The final milestone!.srt
1.73 KB
20. Bonus Section/2. Congratulations & About your certificate.html
1.6 KB
3. Setting up R Studio and R Crash Course/1. Installing R and R studio.mp4
35.69 MB
3. Setting up R Studio and R Crash Course/1. Installing R and R studio.srt
5.63 KB
3. Setting up R Studio and R Crash Course/2. Basics of R and R studio.mp4
38.85 MB
3. Setting up R Studio and R Crash Course/2. Basics of R and R studio.srt
10.83 KB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4
82.96 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.srt
11.46 KB
3. Setting up R Studio and R Crash Course/4. Inputting data part 1 Inbuilt datasets of R.mp4
40.72 MB
3. Setting up R Studio and R Crash Course/4. Inputting data part 1 Inbuilt datasets of R.srt
4.04 KB
3. Setting up R Studio and R Crash Course/5. Inputting data part 2 Manual data entry.mp4
25.51 MB
3. Setting up R Studio and R Crash Course/5. Inputting data part 2 Manual data entry.srt
2.96 KB
3. Setting up R Studio and R Crash Course/6. Inputting data part 3 Importing from CSV or Text files.mp4
60.06 MB
3. Setting up R Studio and R Crash Course/6. Inputting data part 3 Importing from CSV or Text files.srt
6.39 KB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4
96.76 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.srt
13.42 KB
3. Setting up R Studio and R Crash Course/8. Creating Histograms in R.mp4
42 MB
3. Setting up R Studio and R Crash Course/8. Creating Histograms in R.srt
5.9 KB
4. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4
44.75 MB
4. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.srt
9.69 KB
4. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4
34.62 MB
4. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.srt
7.85 KB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4
86.59 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.srt
14.53 KB
5. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4
40.44 MB
5. Neural Networks - Stacking cells to create network/1. Basic Terminologies.srt
9.52 KB
5. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4
60.34 MB
5. Neural Networks - Stacking cells to create network/2. Gradient Descent.srt
11.93 KB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
122.19 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.srt
22.78 KB
6. Important concepts Common Interview questions/1. Some Important Concepts.mp4
62.17 MB
6. Important concepts Common Interview questions/1. Some Important Concepts.srt
13.1 KB
6. Important concepts Common Interview questions/2. Quiz.html
206 B
7. Standard Model Parameters/1. Hyperparameters.mp4
45.35 MB
7. Standard Model Parameters/1. Hyperparameters.srt
8.95 KB
7. Standard Model Parameters/2. Quiz.html
206 B
8. Tensorflow and Keras/1. Keras and Tensorflow.mp4
14.91 MB
8. Tensorflow and Keras/1. Keras and Tensorflow.srt
3.56 KB
8. Tensorflow and Keras/2. Installing Tensorflow and Keras in Python.mp4
20.06 MB
8. Tensorflow and Keras/2. Installing Tensorflow and Keras in Python.srt
3.79 KB
8. Tensorflow and Keras/3. Installing TensorFlow and Keras in R.mp4
22.83 MB
8. Tensorflow and Keras/3. Installing TensorFlow and Keras in R.srt
2.98 KB
9. Dataset for classification problem/1. Python - Dataset for classification problem.mp4
56.18 MB
9. Dataset for classification problem/1. Python - Dataset for classification problem.srt
7.16 KB
9. Dataset for classification problem/2. Python - Normalization and Test-Train split.mp4
44.2 MB
9. Dataset for classification problem/2. Python - Normalization and Test-Train split.srt
5.73 KB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4
111.81 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.srt
12.07 KB
9. Dataset for classification problem/4. More about test-train split.html
559 B