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RAR-files |
| ppnnadlir-5014-zh.rar |
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| Archived
files |
|
Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN)\49.RNNs With Temporal Data.mp4 |
16,318,614 |
FAFA5E63 |
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Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN)\45.What is a CNN.mp4 |
339,944,924 |
5E5CD976 |
|
Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN)\47.More About Our CNN Model Accuracy.mp4 |
11,645,826 |
C872D229 |
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Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN)\48.Implement CNN on Actual Images with MxNet.mp4 |
21,019,409 |
31C8FDD5 |
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Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN)\46.Implement a CNN for Multi-Class Supervised Classification.mp4 |
17,442,674 |
7CEB1B99 |
|
Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\07.Remove Missing Values.mp4 |
42,513,373 |
4527D564 |
|
Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\03.Read in CSV & Excel Data.mp4 |
234,660,057 |
61D5F034 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\01.Introduction.mp4 |
19,446,055 |
044AE2C1 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\11.Exploratory Data Analysis (EDA) - Basic Visualizations with R.mp4 |
17,428,197 |
C6303572 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\12.More Exploratory Data Analysis with xda.mp4 |
116,389,590 |
A2F474CB |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\05.Read in Data from Online HTML Tables-Part 1.mp4 |
313,559,052 |
016181D8 |
|
Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\02.Installing R and R Studio.mp4 |
486,093,394 |
E3D0716B |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\09.Introduction to dplyr for Data Summarizing-Part 1.mp4 |
114,991,977 |
FBDA54B7 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\08.More Data Cleaning.mp4 |
19,199,924 |
DB201F5C |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\04.Read in Online CSV.mp4 |
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ED5E6F75 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\06.Read in Data from Online HTML Tables-Part 2.mp4 |
180,290,628 |
863E612B |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\13.Difference Between Supervised & Unsupervised Learning.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools\10.Introduction to dplyr for Data Summarizing-Part 2.mp4 |
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15BA4C95 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\32.Identify Variable Importance.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\35.Autoencoders for Unsupervised Learning.mp4 |
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461D3E14 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\28.Working with External Data in H2o.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\34.Implement a DNN with H2o For Regression.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\25.Implement a Simple DNN with neuralnet for Binary Classifications.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\30.Implement a DNN with H2o For Multi-Class Supervised Classification.mp4 |
18,774,082 |
D1062A11 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\29.Implement an ANN with H2o For Multi-Class Supervised Classification.mp4 |
766,984,424 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\37.Use the Autoencoder Model for Anomaly Detection.mp4 |
95,230,372 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\26.Implement a Simple DNN with deepnet for Regression.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\36.Autoencoders for Credit Card Fraud Detection.mp4 |
62,575,410 |
3F58658D |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\27.A Package for DNN Modelling in R-H2o.mp4 |
285,739,837 |
9390A0C8 |
|
Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\31.Implement a (Less Intensive) DNN with H2o For Supervised Classification.mp4 |
288,702,688 |
50F60C5C |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\33.What Are Activation Functions.mp4 |
153,084,708 |
F45652E0 |
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Practical Neural Networks and Deep Learning in R [Video]\3.Start with Deep Neural Network (DNN)\38.Autoencoders for Unsupervised Classification.mp4 |
153,635,746 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\17.Evaluate Accuracy.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\16.Neural Network with PCA for Binary Classifications.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\18.Implement a Multi-Layer Perceptron (MLP) For Supervised Classification.mp4 |
361,510,936 |
9CA844D4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\14.Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 |
687,242,700 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\21.Multi-class Classification Using Neural Networks with caret.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\19.Neural Network for Multiclass Classifications.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\15.Neural Network for Binary Classifications.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\20.Neural Network for Image Type Data.mp4 |
326,548,988 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\22.Neural Network for Regression.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\24.Identify Variable Importance in Neural Networks.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\2.Introduction to Artificial Neural Networks (ANN)\23.More on Neural Networks- with neuralnet.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\Exercise Files\code_9781839219429.zip |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\40.Implement an ANN Based Classification Using MXNet.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\41.Implement an ANN Based Regression Using MXNet.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\42.Implement a DNN Based Multi-Class Classification with MXNet.mp4 |
288,586,779 |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\39.Install MXnet in R and RStudio.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\43.Evaluate Accuracy of the DNN Model.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R\44.Implement MXNET via caret.mp4 |
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Practical Neural Networks and Deep Learning in R [Video]\5.Convolution Neural Networks (CNN) |
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Practical Neural Networks and Deep Learning in R [Video]\1.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools |
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Practical Neural Networks and Deep Learning in R [Video]\Exercise Files |
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Practical Neural Networks and Deep Learning in R [Video]\4.ANN & DNN With MXNet Package in R |
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