Download Udemy - Artificial Neural Networks (ANN) with Keras in Python and R Torrent

Torrent Contents Size: 4 GB

Udemy - Artificial Neural Networks (ANN) with Keras in Python and R

TutsNode.com.txt

TXT

63 B

[TGx]Downloaded from torrentgalaxy.to .txt

TXT

585 B

[TutsNode.com] - Artificial Neural Networks (ANN) with Keras in Python and R

1. Introduction

1. Introduction.mp4	MP4	29.1 MB
1. Introduction.srt	SRT	4.6 KB
2. Course Resources.html	HTML	327 B

10. Python - Building and training the Model

1. Different ways to create ANN using Keras.mp4	MP4	10.81 MB
1. Different ways to create ANN using Keras.srt	SRT	1.87 KB
2. Building the Neural Network using Keras.mp4	MP4	79.14 MB
2. Building the Neural Network using Keras.srt	SRT	11.96 KB
3. Compiling and Training the Neural Network model.mp4	MP4	81.65 MB
3. Compiling and Training the Neural Network model.srt	SRT	9.59 KB
4. Evaluating performance and Predicting using Keras.mp4	MP4	69.87 MB
4. Evaluating performance and Predicting using Keras.srt	SRT	9.02 KB

11. R - Building and training the Model

1. Building,Compiling and Training.mp4	MP4	130.73 MB
1. Building,Compiling and Training.srt	SRT	15.42 KB
2. Evaluating and Predicting.mp4	MP4	99.26 MB
2. Evaluating and Predicting.srt	SRT	9.43 KB

12. Python - Regression problems and Functional API

1. Building Neural Network for Regression Problem.mp4	MP4	155.86 MB
1. Building Neural Network for Regression Problem.srt	SRT	21.71 KB
2. Using Functional API for complex architectures.mp4	MP4	92.14 MB
2. Using Functional API for complex architectures.srt	SRT	11.5 KB

13. R - Regression Problem and Functional API

1. Building Regression Model with Functional AP.mp4	MP4	131.14 MB
1. Building Regression Model with Functional AP.srt	SRT	13.07 KB
2. Complex Architectures using Functional API.mp4	MP4	79.58 MB
2. Complex Architectures using Functional API.srt	SRT	8.28 KB

14. Python - Saving and Restoring Models

	1. Saving - Restoring Models and Using Callbacks.mp4	MP4	151.63 MB
	1. Saving - Restoring Models and Using Callbacks.srt	SRT	18.79 KB

15. R - Saving and Restoring Models

	1. Saving - Restoring Models and Using Callbacks.mp4	MP4	216.1 MB
	1. Saving - Restoring Models and Using Callbacks.srt	SRT	20.36 KB

16. Python - Hyperparameter Tuning

	1. Hyperparameter Tuning.mp4	MP4	60.64 MB
	1. Hyperparameter Tuning.srt	SRT	9.43 KB

17. R - Hyperparameter Tuning

	1. Hyperparameter Tuning.mp4	MP4	60.63 MB
	1. Hyperparameter Tuning.srt	SRT	9.43 KB

18. Add on Data Preprocessing

1. Gathering Business Knowledge.mp4	MP4	22.29 MB
1. Gathering Business Knowledge.srt	SRT	3.9 KB
10. Outlier Treatment in Python.mp4	MP4	70.25 MB
10. Outlier Treatment in Python.srt	SRT	13 KB
11. Outlier Treatment in R.mp4	MP4	30.75 MB
11. Outlier Treatment in R.srt	SRT	4.28 KB
12. Missing Value imputation.mp4	MP4	24.99 MB
12. Missing Value imputation.srt	SRT	4.08 KB
13. Missing Value Imputation in Python.mp4	MP4	23.42 MB
13. Missing Value Imputation in Python.srt	SRT	4.06 KB
14. Missing Value imputation in R.mp4	MP4	25.99 MB
14. Missing Value imputation in R.srt	SRT	3.46 KB
15. Seasonality in Data.mp4	MP4	17.04 MB
15. Seasonality in Data.srt	SRT	3.78 KB
16. Bi-variate Analysis and Variable Transformation.mp4	MP4	100.47 MB
16. Bi-variate Analysis and Variable Transformation.srt	SRT	18.29 KB
17. Variable transformation and deletion in Python.mp4	MP4	44.12 MB
17. Variable transformation and deletion in Python.srt	SRT	7.54 KB
18. Variable transformation in R.mp4	MP4	55.42 MB
18. Variable transformation in R.srt	SRT	9.04 KB
19. Non Usable Variables.mp4	MP4	20.25 MB
19. Non Usable Variables.srt	SRT	5.39 KB
2. Data Exploration.mp4	MP4	20.52 MB
2. Data Exploration.srt	SRT	3.6 KB
20. Dummy variable creation Handling qualitative data.mp4	MP4	36.84 MB
20. Dummy variable creation Handling qualitative data.srt	SRT	4.86 KB
21. Dummy variable creation in Python.mp4	MP4	26.54 MB
21. Dummy variable creation in Python.srt	SRT	5.51 KB
22. Dummy variable creation in R.mp4	MP4	43.98 MB
22. Dummy variable creation in R.srt	SRT	5.19 KB
3. The Data and the Data Dictionary.mp4	MP4	69.34 MB
3. The Data and the Data Dictionary.srt	SRT	7.82 KB
3.1 House_Price.csv	CSV	53.49 KB
4. Importing Data in Python.mp4	MP4	27.84 MB
4. Importing Data in Python.srt	SRT	5.58 KB
5. Importing the dataset into R.mp4	MP4	13.11 MB
5. Importing the dataset into R.srt	SRT	2.6 KB
6. Univariate Analysis and EDD.mp4	MP4	24.21 MB
6. Univariate Analysis and EDD.srt	SRT	3.44 KB
7. EDD in Python.mp4	MP4	61.79 MB
7. EDD in Python.srt	SRT	10.36 KB
8. EDD in R.mp4	MP4	96.98 MB
8. EDD in R.srt	SRT	11.55 KB
9. Outlier Treatment.mp4	MP4	24.49 MB
9. Outlier Treatment.srt	SRT	4.46 KB

19. Test Train Split

1. Test-train split.mp4	MP4	41.88 MB
1. Test-train split.srt	SRT	10.05 KB
2. Bias Variance trade-off.mp4	MP4	25.1 MB
2. Bias Variance trade-off.srt	SRT	6.37 KB
3. Test train split in Python.mp4	MP4	44.86 MB
3. Test train split in Python.srt	SRT	8.05 KB
4. Test train split in R.mp4	MP4	75.61 MB
4. Test train split in R.srt	SRT	8.37 KB

2. Setting up Python and Jupyter Notebook

1. Installing Python and Anaconda.mp4	MP4	16.28 MB
1. Installing Python and Anaconda.srt	SRT	2.58 KB
2. Opening Jupyter Notebook.mp4	MP4	65.2 MB
2. Opening Jupyter Notebook.srt	SRT	9.14 KB
3. Introduction to Jupyter.mp4	MP4	40.92 MB
3. Introduction to Jupyter.srt	SRT	12.31 KB
4. Arithmetic operators in Python Python Basics.mp4	MP4	12.75 MB
4. Arithmetic operators in Python Python Basics.srt	SRT	3.99 KB
5. Strings in Python Python Basics.mp4	MP4	64.44 MB
5. Strings in Python Python Basics.srt	SRT	16.43 KB
6. Lists, Tuples and Directories Python Basics.mp4	MP4	60.32 MB
6. Lists, Tuples and Directories Python Basics.srt	SRT	17.01 KB
7. Working with Numpy Library of Python.mp4	MP4	43.89 MB
7. Working with Numpy Library of Python.srt	SRT	10.47 KB
8. Working with Pandas Library of Python.mp4	MP4	46.9 MB
8. Working with Pandas Library of Python.srt	SRT	8.15 KB
8.1 Product.txt	TXT	139.48 KB
8.2 Customer.csv	CSV	64.02 KB
9. Working with Seaborn Library of Python.mp4	MP4	40.36 MB
9. Working with Seaborn Library of Python.srt	SRT	7.53 KB

20. Bonus Section

1. Congratulations & About your certificate.html

HTML

1.6 KB

3. Setting up R Studio and R Crash Course

1. Installing R and R studio.mp4	MP4	35.7 MB
1. Installing R and R studio.srt	SRT	5.63 KB
2. Basics of R and R studio.mp4	MP4	38.85 MB
2. Basics of R and R studio.srt	SRT	10.83 KB
3. Packages in R.mp4	MP4	82.96 MB
3. Packages in R.srt	SRT	11.46 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	MP4	40.73 MB
4. Inputting data part 1 Inbuilt datasets of R.srt	SRT	4.04 KB
5. Inputting data part 2 Manual data entry.mp4	MP4	25.52 MB
5. Inputting data part 2 Manual data entry.srt	SRT	2.96 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	MP4	60.06 MB
6. Inputting data part 3 Importing from CSV or Text files.srt	SRT	6.39 KB
7. Creating Barplots in R.mp4	MP4	96.76 MB
7. Creating Barplots in R.srt	SRT	13.42 KB
8. Creating Histograms in R.mp4	MP4	42.01 MB
8. Creating Histograms in R.srt	SRT	5.9 KB

4. Single Cells - Perceptron and Sigmoid Neuron

1. Perceptron.mp4	MP4	44.76 MB
1. Perceptron.srt	SRT	9.69 KB
2. Activation Functions.mp4	MP4	34.63 MB
2. Activation Functions.srt	SRT	7.85 KB
3. Python - Creating Perceptron model.mp4	MP4	86.59 MB
3. Python - Creating Perceptron model.srt	SRT	14.53 KB

5. Neural Networks - Stacking cells to create network

1. Basic Terminologies.mp4	MP4	40.44 MB
1. Basic Terminologies.srt	SRT	9.52 KB
2. Gradient Descent.mp4	MP4	60.33 MB
2. Gradient Descent.srt	SRT	11.93 KB
3. Back Propagation.mp4	MP4	122.2 MB
3. Back Propagation.srt	SRT	22.78 KB

6. Important concepts Common Interview questions

1. Some Important Concepts.mp4	MP4	62.18 MB
1. Some Important Concepts.srt	SRT	13.1 KB
2. Quiz.html	HTML	166 B

7. Standard Model Parameters

1. Hyperparameters.mp4	MP4	45.36 MB
1. Hyperparameters.srt	SRT	8.95 KB
2. Quiz.html	HTML	166 B

8. Tensorflow and Keras

1. Keras and Tensorflow.mp4	MP4	14.92 MB
1. Keras and Tensorflow.srt	SRT	3.56 KB
2. Installing Tensorflow and Keras in Python.mp4	MP4	20.07 MB
2. Installing Tensorflow and Keras in Python.srt	SRT	3.79 KB
3. Installing TensorFlow and Keras in R.mp4	MP4	22.83 MB
3. Installing TensorFlow and Keras in R.srt	SRT	2.98 KB

9. Dataset for classification problem

1. Python - Dataset for classification problem.mp4	MP4	56.18 MB
1. Python - Dataset for classification problem.srt	SRT	7.16 KB
2. Python - Normalization and Test-Train split.mp4	MP4	44.21 MB
2. Python - Normalization and Test-Train split.srt	SRT	5.73 KB
3. R - Dataset, Normalization and Test-Train set.mp4	MP4	111.8 MB
3. R - Dataset, Normalization and Test-Train set.srt	SRT	12.07 KB

Description

Show full description

Related Torrents

TORRENT NAME	SIZE	FILES	AGE	SEED	LEECH	SOURCE
Udemy - Keep Artificial Intelligence (AI) Simple Posted by freecoursewb in Other Posted in Other 13 1.8 GB 2 months ago freecoursewb	Size 1.8 GB	Files 18	Age 2 months ago	Seeds 13	Leechs 11	Source
Udemy - Artificial Intelligence (AI) for Electrical Engineers Posted by freecoursewb in Other Posted in Other 15 2 GB 3 months ago freecoursewb	Size 2 GB	Files 24	Age 3 months ago	Seeds 15	Leechs 8	Source
Udemy - Artificial Intelligence - Set Up Your Business With AI Help Posted by freecoursewb in Other Posted in Other 2 1.5 GB 3 months ago freecoursewb	Size 1.5 GB	Files 37	Age 3 months ago	Seeds 2	Leechs 8	Source
Udemy - Artificial Intelligence for Business Executives - AI Bootcamp Posted by freecoursewb in Other Posted in Other 3 2.2 GB 6 months ago freecoursewb	Size 2.2 GB	Files 51	Age 6 months ago	Seeds 3	Leechs 2	Source
Udemy - What is Artificial Intelligence A Beginner ' s Guide Posted by freecoursewb in Other Posted in Other 39 1.8 GB 7 months ago freecoursewb	Size 1.8 GB	Files 45	Age 7 months ago	Seeds 39	Leechs 6	Source

Udemy - Artificial Neural Networks (ANN) with Keras in Python and R

Torrent Contents Size: 4 GB

Description

Related Torrents

Location

Trackers

Latest News

Latest Searches

Sites In Our Index

Popular Tags

Tracker name
udp://tracker.leechers-paradise.org:6969/announce
udp://tracker.internetwarriors.net:1337/announce
udp://tracker.opentrackr.org:1337/announce
udp://tracker.coppersurfer.tk:6969/announce
udp://tracker.pirateparty.gr:6969/announce
udp://9.rarbg.to:2730/announce
udp://9.rarbg.to:2710/announce
udp://bt.xxx-tracker.com:2710/announce
udp://tracker.cyberia.is:6969/announce
udp://retracker.lanta-net.ru:2710/announce
udp://9.rarbg.to:2770/announce
udp://9.rarbg.me:2730/announce
udp://eddie4.nl:6969/announce
udp://tracker.mg64.net:6969/announce
udp://open.demonii.si:1337/announce
udp://tracker.zer0day.to:1337/announce
udp://tracker.tiny-vps.com:6969/announce
udp://ipv6.tracker.harry.lu:80/announce
udp://9.rarbg.me:2740/announce
udp://9.rarbg.me:2770/announce
udp://denis.stalker.upeer.me:6969/announce
udp://tracker.port443.xyz:6969/announce
udp://tracker.moeking.me:6969/announce
udp://exodus.desync.com:6969/announce
udp://9.rarbg.to:2740/announce
udp://9.rarbg.to:2720/announce
udp://tracker.justseed.it:1337/announce
udp://tracker.torrent.eu.org:451/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.open-internet.nl:6969/announce
udp://torrentclub.tech:6969/announce
udp://open.stealth.si:80/announce
http://tracker.tfile.co:80/announce