Artificial Neural Networks ANN with Keras in Python and | 81F4250A2F617C650E42572EE319AF4D72F0B4B8

Artificial Neural Networks ANN with Keras in Python and

Name	Artificial Neural Networks (ANN) with Keras in Python and R	DOWNLOAD Copy Link
Total Size	4.3 GB
Total Files	153
Last Seen	2024-11-14 23:50
Hash	81F4250A2F617C650E42572EE319AF4D72F0B4B8

/.../15. R - Saving and Restoring Models/
1. Saving - Restoring Models and Using Callbacks.mp4	226.6 MB
1. Saving - Restoring Models and Using Callbacks.srt	20.9 KB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/1. Introduction/
1. Introduction.mp4	30.5 MB
1. Introduction.srt	4.7 KB
2. Course Resources.html	0.3 KB
/.../2. Setting up Python and Jupyter Notebook/
1. Installing Python and Anaconda.mp4	17.1 MB
1. Installing Python and Anaconda.srt	2.6 KB
2. Opening Jupyter Notebook.mp4	68.4 MB
2. Opening Jupyter Notebook.srt	9.4 KB
3. Introduction to Jupyter.mp4	42.9 MB
3. Introduction to Jupyter.srt	12.6 KB
4. Arithmetic operators in Python Python Basics.mp4	13.4 MB
4. Arithmetic operators in Python Python Basics.srt	4.1 KB
5. Strings in Python Python Basics.mp4	67.6 MB
5. Strings in Python Python Basics.srt	16.8 KB
6. Lists, Tuples and Directories Python Basics.mp4	63.2 MB
6. Lists, Tuples and Directories Python Basics.srt	17.4 KB
7. Working with Numpy Library of Python.mp4	46.0 MB
7. Working with Numpy Library of Python.srt	10.7 KB
8. Working with Pandas Library of Python.mp4	49.2 MB
8. Working with Pandas Library of Python.srt	8.3 KB
8.1 Product.txt	142.8 KB
8.2 Customer.csv	65.6 KB
9. Working with Seaborn Library of Python.mp4	42.3 MB
9. Working with Seaborn Library of Python.srt	7.7 KB
/.../3. Setting up R Studio and R Crash Course/
1. Installing R and R studio.mp4	37.4 MB
1. Installing R and R studio.srt	5.8 KB
2. Basics of R and R studio.mp4	40.7 MB
2. Basics of R and R studio.srt	11.1 KB
3. Packages in R.mp4	87.0 MB
3. Packages in R.srt	11.7 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	42.7 MB
4. Inputting data part 1 Inbuilt datasets of R.srt	4.1 KB
5. Inputting data part 2 Manual data entry.mp4	26.8 MB
5. Inputting data part 2 Manual data entry.srt	3.0 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	63.0 MB
6. Inputting data part 3 Importing from CSV or Text files.srt	6.5 KB
7. Creating Barplots in R.mp4	101.5 MB
7. Creating Barplots in R.srt	13.7 KB
8. Creating Histograms in R.mp4	44.1 MB
8. Creating Histograms in R.srt	6.0 KB
/.../4. Single Cells - Perceptron and Sigmoid Neuron/
1. Perceptron.mp4	46.9 MB
1. Perceptron.srt	9.9 KB
2. Activation Functions.mp4	36.3 MB
2. Activation Functions.srt	8.0 KB
3. Python - Creating Perceptron model.mp4	90.8 MB
3. Python - Creating Perceptron model.srt	14.9 KB
/.../5. Neural Networks - Stacking cells to create network/
1. Basic Terminologies.mp4	42.4 MB
1. Basic Terminologies.srt	9.7 KB
2. Gradient Descent.mp4	63.3 MB
2. Gradient Descent.srt	12.2 KB
3. Back Propagation.mp4	128.1 MB
3. Back Propagation.srt	23.3 KB
/.../6. Important concepts Common Interview questions/
1. Some Important Concepts.mp4	65.2 MB
1. Some Important Concepts.srt	13.4 KB
2. Quiz.html	0.2 KB
/.../7. Standard Model Parameters/
1. Hyperparameters.mp4	47.6 MB
1. Hyperparameters.srt	9.2 KB
2. Quiz.html	0.2 KB
/.../8. Tensorflow and Keras/
1. Keras and Tensorflow.mp4	15.6 MB
1. Keras and Tensorflow.srt	3.6 KB
2. Installing Tensorflow and Keras in Python.mp4	21.0 MB
2. Installing Tensorflow and Keras in Python.srt	3.9 KB
3. Installing TensorFlow and Keras in R.mp4	23.9 MB
3. Installing TensorFlow and Keras in R.srt	3.0 KB
/.../9. Dataset for classification problem/
1. Python - Dataset for classification problem.mp4	58.9 MB
1. Python - Dataset for classification problem.srt	7.3 KB
2. Python - Normalization and Test-Train split.mp4	46.4 MB
2. Python - Normalization and Test-Train split.srt	5.9 KB
3. R - Dataset, Normalization and Test-Train set.mp4	117.2 MB
3. R - Dataset, Normalization and Test-Train set.srt	12.4 KB
/.../10. Python - Building and training the Model/
1. Different ways to create ANN using Keras.mp4	11.3 MB
1. Different ways to create ANN using Keras.srt	1.9 KB
2. Building the Neural Network using Keras.mp4	83.0 MB
2. Building the Neural Network using Keras.srt	12.2 KB
3. Compiling and Training the Neural Network model.mp4	85.6 MB
3. Compiling and Training the Neural Network model.srt	9.8 KB
4. Evaluating performance and Predicting using Keras.mp4	73.3 MB
4. Evaluating performance and Predicting using Keras.srt	9.2 KB
/.../11. R - Building and training the Model/
1. Building,Compiling and Training.mp4	137.1 MB
1. Building,Compiling and Training.srt	15.8 KB
2. Evaluating and Predicting.mp4	104.1 MB
2. Evaluating and Predicting.srt	9.7 KB
/.../12. Python - Regression problems and Functional API/
1. Building Neural Network for Regression Problem.mp4	163.4 MB
1. Building Neural Network for Regression Problem.srt	22.2 KB
2. Using Functional API for complex architectures.mp4	96.6 MB
2. Using Functional API for complex architectures.srt	11.8 KB
/.../13. R - Regression Problem and Functional API/
1. Building Regression Model with Functional AP.mp4	137.5 MB
1. Building Regression Model with Functional AP.srt	13.4 KB
2. Complex Architectures using Functional API.mp4	83.4 MB
2. Complex Architectures using Functional API.srt	8.5 KB
/.../14. Python - Saving and Restoring Models/
1. Saving - Restoring Models and Using Callbacks.mp4	159.0 MB
1. Saving - Restoring Models and Using Callbacks.srt	19.2 KB
/.../16. Python - Hyperparameter Tuning/
1. Hyperparameter Tuning.mp4	63.6 MB
1. Hyperparameter Tuning.srt	9.7 KB
/.../17. R - Hyperparameter Tuning/
1. Hyperparameter Tuning.mp4	63.6 MB
1. Hyperparameter Tuning.srt	9.7 KB
/.../18. Add on Data Preprocessing/
1. Gathering Business Knowledge.mp4	23.4 MB
1. Gathering Business Knowledge.srt	4.0 KB
2. Data Exploration.mp4	21.5 MB
2. Data Exploration.srt	3.7 KB
3. The Data and the Data Dictionary.mp4	72.7 MB
3. The Data and the Data Dictionary.srt	8.0 KB
3.1 House_Price.csv	54.8 KB
4. Importing Data in Python.mp4	29.2 MB
4. Importing Data in Python.srt	5.7 KB
5. Importing the dataset into R.mp4	13.7 MB
5. Importing the dataset into R.srt	2.7 KB
6. Univariate Analysis and EDD.mp4	25.4 MB
6. Univariate Analysis and EDD.srt	3.5 KB
7. EDD in Python.mp4	64.8 MB
7. EDD in Python.srt	10.6 KB
8. EDD in R.mp4	101.7 MB
8. EDD in R.srt	11.8 KB
9. Outlier Treatment.mp4	25.7 MB
9. Outlier Treatment.srt	4.6 KB
10. Outlier Treatment in Python.mp4	73.7 MB
10. Outlier Treatment in Python.srt	13.3 KB
11. Outlier Treatment in R.mp4	32.2 MB
11. Outlier Treatment in R.srt	4.4 KB
12. Missing Value imputation.mp4	26.2 MB
12. Missing Value imputation.srt	4.2 KB
13. Missing Value Imputation in Python.mp4	24.6 MB
13. Missing Value Imputation in Python.srt	4.2 KB
14. Missing Value imputation in R.mp4	27.3 MB
14. Missing Value imputation in R.srt	3.5 KB
15. Seasonality in Data.mp4	17.9 MB
15. Seasonality in Data.srt	3.9 KB
16. Bi-variate Analysis and Variable Transformation.mp4	105.4 MB
16. Bi-variate Analysis and Variable Transformation.srt	18.7 KB
17. Variable transformation and deletion in Python.mp4	46.3 MB
17. Variable transformation and deletion in Python.srt	7.7 KB
18. Variable transformation in R.mp4	58.1 MB
18. Variable transformation in R.srt	9.3 KB
19. Non Usable Variables.mp4	21.2 MB
19. Non Usable Variables.srt	5.5 KB
20. Dummy variable creation Handling qualitative data.mp4	38.6 MB
20. Dummy variable creation Handling qualitative data.srt	5.0 KB
21. Dummy variable creation in Python.mp4	27.8 MB
21. Dummy variable creation in Python.srt	5.6 KB
22. Dummy variable creation in R.mp4	46.1 MB
22. Dummy variable creation in R.srt	5.3 KB
/.../19. Test Train Split/
1. Test-train split.mp4	43.9 MB
1. Test-train split.srt	10.3 KB
2. Bias Variance trade-off.mp4	26.3 MB
2. Bias Variance trade-off.srt	6.5 KB
3. Test train split in Python.mp4	47.0 MB
3. Test train split in Python.srt	8.2 KB
4. Test train split in R.mp4	79.3 MB
4. Test train split in R.srt	8.6 KB
/.../20. Bonus Section/
1. Congratulations & About your certificate.html	1.6 KB
Total files 153