[GigaCourse com] Udemy Deep Learning with Keras and Tensorflow in Python and R
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| Torrent Size : | 4.01 GB |
[GigaCourse com] Udemy Deep Learning with Keras and Tensorflow in Python and R
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Torrent File Content (151 files)
[GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R
1. Introduction
1. Introduction.mp4 -
1. Introduction
1. Introduction.mp4 -
29.1 MB
1. Introduction.srt -
4.6 KB
2. Course Resources.html -
117 bytes
2.1 keras.zip -
5.53 MB
10. Python - Building and training the Model
1. Different ways to create ANN using Keras.mp4 -
1. Different ways to create ANN using Keras.mp4 -
10.81 MB
1. Different ways to create ANN using Keras.srt -
1.87 KB
2. Building the Neural Network using Keras.mp4 -
79.15 MB
2. Building the Neural Network using Keras.srt -
11.96 KB
3. Compiling and Training the Neural Network model.mp4 -
81.66 MB
3. Compiling and Training the Neural Network model.srt -
9.59 KB
4. Evaluating performance and Predicting using Keras.mp4 -
69.87 MB
4. Evaluating performance and Predicting using Keras.srt -
9.02 KB
11. R - Building and training the Model
1. Building,Compiling and Training.mp4 -
1. Building,Compiling and Training.mp4 -
130.73 MB
1. Building,Compiling and Training.srt -
15.42 KB
2. Evaluating and Predicting.mp4 -
99.26 MB
2. Evaluating and Predicting.srt -
9.43 KB
12. Python - Regression problems and Functional API
1. Building Neural Network for Regression Problem.mp4 -
1. Building Neural Network for Regression Problem.mp4 -
155.87 MB
1. Building Neural Network for Regression Problem.srt -
21.71 KB
2. Using Functional API for complex architectures.mp4 -
92.14 MB
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 -
1. Building Regression Model with Functional AP.mp4 -
131.14 MB
1. Building Regression Model with Functional AP.srt -
13.07 KB
2. Complex Architectures using Functional API.mp4 -
79.58 MB
2. Complex Architectures using Functional API.srt -
8.28 KB
14. Python - Saving and Restoring Models
1. Saving - Restoring Models and Using Callbacks.mp4 -
1. Saving - Restoring Models and Using Callbacks.mp4 -
151.63 MB
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 -
1. Saving - Restoring Models and Using Callbacks.mp4 -
216.1 MB
1. Saving - Restoring Models and Using Callbacks.srt -
20.36 KB
16. Python - Hyperparameter Tuning
1. Hyperparameter Tuning.mp4 -
1. Hyperparameter Tuning.mp4 -
60.64 MB
1. Hyperparameter Tuning.srt -
9.43 KB
17. R - Hyperparameter Tuning
1. Hyperparameter Tuning.mp4 -
1. Hyperparameter Tuning.mp4 -
60.63 MB
1. Hyperparameter Tuning.srt -
9.43 KB
18. Add on Data Preprocessing
1. Gathering Business Knowledge.mp4 -
1. Gathering Business Knowledge.mp4 -
22.29 MB
1. Gathering Business Knowledge.srt -
3.9 KB
10. Outlier Treatment in Python.mp4 -
70.24 MB
10. Outlier Treatment in Python.srt -
13 KB
11. Outlier Treatment in R.mp4 -
30.75 MB
11. Outlier Treatment in R.srt -
4.28 KB
12. Missing Value imputation.mp4 -
24.99 MB
12. Missing Value imputation.srt -
4.08 KB
13. Missing Value Imputation in Python.mp4 -
23.42 MB
13. Missing Value Imputation in Python.srt -
4.06 KB
14. Missing Value imputation in R.mp4 -
26 MB
14. Missing Value imputation in R.srt -
3.46 KB
15. Seasonality in Data.mp4 -
17.04 MB
15. Seasonality in Data.srt -
3.78 KB
16. Bi-variate Analysis and Variable Transformation.mp4 -
100.47 MB
16. Bi-variate Analysis and Variable Transformation.srt -
18.29 KB
17. Variable transformation and deletion in Python.mp4 -
44.12 MB
17. Variable transformation and deletion in Python.srt -
7.54 KB
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