Complete Deep Learning In R With Keras & Others

سرفصل های دوره

Deep Learning: Master Powerful Deep Learning Tools in R Like Keras, Mxnet, H2O and Others

1 - INTRODUCTION TO THE COURSE The Key Concepts and Software Tools

1 - Introduction to the Course

2 - Data and Code.html

3 - Install R and RStudio

4 - Install MXnet in R and RStudio

5 - Install Mxnet in R Written Instructions.html

6 - Install H2o

7 - What is Keras

8 - Install Keras in R.html

9 - What Are the Most Common Data Types We Will Encounter

2 - Basic Data Access & PreProcessing in R

10 - Read in Data From CSV and Excel Files

10 - Resp1.csv

10 - boston1.xls

10 - l5-csv-excel.zip

10 - winequality-red.csv

11 - Read in Data from Online HTML TablesPart 1

11 - readhtml-xml.zip

12 - Read in Data from Online HTML TablesPart 2

12 - readhtml-rcurl.zip

13 - Working with External Data in H2o

14 - Remove NAs

14 - l6-removena.zip

15 - More Data Cleaning

15 - l7-more-data-clean.zip

16 - Introduction to dplyr for Data SummarizingPart 1

16 - dplyr-part1.zip

17 - Introduction to dplyr for Data SummarizingPart 2

17 - dplyr-part2.zip

18 - Exploratory Data AnalysisEDA Basic Visualizations with R

18 - l8-eda.zip

3 - Some Theoretical Foundations

19 - Difference Between Supervised & Unsupervised Learning

20 - Theory Behind ANN Artificial Neural Network and DNN Deep Neural Networks

21 - What Are Activation Functions

4 - Build Artificial Neural Networks ANN in R

22 - Neural Network for Binary Classifications

22 - UCI-Credit-Card.csv

22 - neural-binary-class.zip

23 - Evaluate Accuracy

24 - Implement a MultiLayer Perceptron MLP For Supervised Classification

24 - glassClass.csv

24 - mlp.zip

25 - Neural Network for Multiclass Classifications

25 - neural-multiclass.zip

26 - Neural Network for Image Type Data

26 - image-class.zip

27 - Multiclass Classification Using Neural Networks with caret

27 - fashion-class.zip

28 - Implement an ANN with H2o For MultiClass Supervised Classification

28 - h2o-ann.zip

29 - Implement an ANN Based Classification Using MXNet

29 - class-mxnet.zip

30 - Implement MLP With Keras

30 - mlp-mnist-keras.zip

31 - Keras MLP On Real Data

31 - iris-mlpk.zip

32 - Keras MLP For Regression

32 - iris-regression.zip

33 - Neural Network for Regression

33 - neural-regression.zip

34 - More on Artificial Neural NetworksANN with neuralnet

34 - neural-regression2.zip

35 - Implement an ANN Based Regression Using MXNet

35 - regression-mxnet.zip

36 - Identify Variable Importance in Neural Networks

36 - neuralnet-variableimp.zip

5 - Build Deep Neural Networks DNN in R

37 - Implement a Simple DNN With neuralnet for Binary Classifications

37 - simple-dnn-neuralnet.zip

38 - Implement a Simple DNN With deepnet for Regression

38 - deepnetr.zip

39 - Implement a DNN with H2o For MultiClass Supervised Classification

39 - h2o-dnn-3hidden.zip

40 - Implement a Less Intensive DNN with H2o For Supervised Classification

40 - h2o-dnn-2hidden.zip

41 - Implement a DNN With Keras

42 - Identify Variable Importance

42 - h2o-varimp.zip

43 - Implement MXNET via caret

43 - mxnet-caret.zip

44 - Implement a DNN with H2o For Regression

44 - h2o-regression.zip

45 - Implement a DNN with Keras For Regression

45 - keras-dnn-bh.zip

46 - Implement DNN Regression With Keras Real Data

46 - keras-dnn-ames.zip

6 - Unsupervised Classification with Deep Learning

47 - Theory Behind Unsupervised Classification

48 - Autoencoders for Unsupervised Learning

49 - Autoencoders for Credit Card Fraud Detection

49 - creditcard.csv

49 - h2o-autoencoders.zip

50 - Use the Autoencoder Model for Anomaly Detection

50 - implement-auto.zip

51 - Autoencoders for Unsupervised Classification

51 - cancer-tumor.csv

51 - h2o-ann-unsup.zip

52 - Autoencoders With Keras

52 - keras-auto-digits.zip

53 - Keras Autoencoders on Real Data

54 - Stacked Autoencoder With Keras

54 - creditcard.csv

54 - stacked-auto.zip

55 - Keras For Outlier Detection

56 - Find the Outlier

57 - Outlier Detection For Cancer With Keras

57 - cancer-tumor.csv

57 - outlier-tumor.zip

7 - Convolutional Neural Networks CNN

58 - What is a CNN

59 - Implement a CNN for MultiClass Supervised Classification

60 - More About Our CNN Model Accuracy

61 - Set Up CNN With Keras

62 - More About CNN With Keras

63 - Implement Keras CNN On Real Images

64 - Some More Explanations

65 - Improve CNN Performance

65 - cnn-lung-improve.zip

66 - CNN For Multiclass Classification

66 - fruit.zip

8 - Working With Textual Data

67 - Basic PreProcessing of Text Data

67 - enron-emails.csv

67 - text-pre.zip

68 - Detect Frauds Using Keras Autoencoders on Text Data

68 - enron-emails.csv

68 - text-auto.zip

69 - Word Embeddings For Classifying Fraud

69 - enron-emails.csv

69 - word-embed.zip

70 - Word Embeddings For Classifying FraudGloVe

70 - enron-emails.csv

70 - word-embed-glove.zip

9 - Recurrent Neural Networks RNN

71 - Some theoretical foundations

72 - Use RNNs for Text Classification

72 - enron-emails.csv

73 - Use RNNs for Temporal Data

73 - rnn-temporal.zip

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تولید کننده: Udemy-Training