|
RAR-files |
| phmlfnd-6b69-xqzt.rar |
250,000,000 |
480BE42F |
| phmlfnd-6b69-xqzt.r00 |
250,000,000 |
99B5C42C |
| phmlfnd-6b69-xqzt.r01 |
250,000,000 |
DC52E6F7 |
| phmlfnd-6b69-xqzt.r02 |
250,000,000 |
C7EB3F48 |
| phmlfnd-6b69-xqzt.r03 |
250,000,000 |
D60C05F4 |
| phmlfnd-6b69-xqzt.r04 |
250,000,000 |
1856EEFE |
| phmlfnd-6b69-xqzt.r05 |
250,000,000 |
41B5078A |
| phmlfnd-6b69-xqzt.r06 |
26,575,856 |
9EE2C240 |
|
| Total size: |
1,776,575,856 |
|
|
| Archived
files |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning'\26.Speeding Up Model Training Using the GPU.mp4
[bb34ad37a03fc904]
|
25,134,834 |
B80305C7 |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning'\22.Image Classification and Our Dataset.mp4
[daf745cdc1d086ae]
|
6,134,686 |
F6477F6C |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning'\24.Training the Custom Image Classification Model.mp4
[ad28e8e04a0bf107]
|
22,388,502 |
A61D52BC |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning'\25.Using the Trained Model in the Desktop Application.mp4
[34030ef751342060]
|
9,969,164 |
A340570B |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning'\23.Deep Learning and Transferring Learnings from TensorFlow.mp4
[b055b4b07822b2bc]
|
16,060,055 |
7EFEE093 |
|
Hands-On Machine Learning for .NET Developers [Video]\4.Classifying News into Subjects\17.Building the Pipeline and Evaluating the Performance.mp4
[503e10c8ada06e2a]
|
13,601,265 |
15B4BB2E |
|
Hands-On Machine Learning for .NET Developers [Video]\4.Classifying News into Subjects\16.Using AutoML to Find a Suitable Model.mp4
[581b4be717284c6d]
|
12,846,512 |
BE2680C7 |
|
Hands-On Machine Learning for .NET Developers [Video]\4.Classifying News into Subjects\15.Multiclass Classification and the UCI News Dataset.mp4
[5b26568828e106ac]
|
12,251,145 |
6226DB21 |
|
Hands-On Machine Learning for .NET Developers [Video]\4.Classifying News into Subjects\18.Explore the Effect of Imbalanced Data on the Metrics.mp4
[c919b9aaf29f625f]
|
16,160,460 |
28CB215E |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model\31.Saving a ML.NET Model in ONNX Format.mp4
[c38f1c66a6288ad5]
|
10,522,138 |
B4936B3A |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model\27.What ONNX Is.mp4
[27c3f4b7576fc5d4]
|
6,496,206 |
2E38FBE9 |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model\28.The FER+ ONNX Model.mp4
[71a7caacfbb5cff9]
|
17,644,641 |
C41D7723 |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model\29.Creating Our ONNX Pipeline.mp4
[b61c31a3e8fa78b]
|
13,550,078 |
535C0A3E |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model\30.Detecting Emotions in Images and Webcam.mp4
[302c7e4b02740706]
|
21,875,554 |
A6124987 |
|
Hands-On Machine Learning for .NET Developers [Video]\3.Evaluating, Improving, and Retraining Your Model\11.Evaluating Your Model.mp4
[4a460f240ff6a5a6]
|
18,328,454 |
0595B922 |
|
Hands-On Machine Learning for .NET Developers [Video]\3.Evaluating, Improving, and Retraining Your Model\12.Splitting the Data into Training and Test Sets.mp4
[7ac571ed8ab0e499]
|
7,866,876 |
8AAF0497 |
|
Hands-On Machine Learning for .NET Developers [Video]\3.Evaluating, Improving, and Retraining Your Model\13.Retraining the Model with More Data.mp4
[94a8d6e0a9c20fd1]
|
19,442,649 |
001A58FC |
|
Hands-On Machine Learning for .NET Developers [Video]\3.Evaluating, Improving, and Retraining Your Model\14.Evaluating with Cross-Validation.mp4
[7008713dce528835]
|
16,754,885 |
C83D41E3 |
|
Hands-On Machine Learning for .NET Developers [Video]\Exercise Files\code_9781800205024.zip |
1,322,497,237 |
BAE7B984 |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\05.Using the Final Model in the Desktop Application.mp4
[88e973583aa047c6]
|
16,813,836 |
9B3A8238 |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\01.The Course Overview.mp4
[bf50b1dcd12192a7]
|
9,387,608 |
84CAEE1D |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\02.Demo of the Application and How to Apply Machine Learning.mp4
[39e5c9ff5d2c420e]
|
10,327,459 |
ED6F9E6B |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\06.Generating the Model Using the ML.NET CLI Tool.mp4
[dfe904743da4ee17]
|
7,330,531 |
EFC7FD4A |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\04.Automatically Generate a Model with the ML.NET Model Builder.mp4
[7c7d94b996fdd69c]
|
7,916,010 |
2985A526 |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression)\03.Installing the ML.NET Model Builder.mp4
[65708b3b0ded1948]
|
7,077,490 |
A677352F |
|
Hands-On Machine Learning for .NET Developers [Video]\5.Building a Recommender System\21.Exploring Hyper Parameters to Improve the Accuracy.mp4
[ad84f7b8fc34f8c1]
|
44,032,252 |
04223656 |
|
Hands-On Machine Learning for .NET Developers [Video]\5.Building a Recommender System\20.Building the Restaurant Recommendation Model.mp4
[f62326118cdcbad1]
|
11,768,767 |
8ADD08E8 |
|
Hands-On Machine Learning for .NET Developers [Video]\5.Building a Recommender System\19.The Restaurant Recommender.mp4
[d6de2f947f1649bc]
|
8,285,698 |
7CEA6C33 |
|
Hands-On Machine Learning for .NET Developers [Video]\2.Determining Aggression in User Comments\07.Demo of the Web API and the Wikipedia Aggression Dataset.mp4
[e49eb9f4e0d34c71]
|
7,264,169 |
35023908 |
|
Hands-On Machine Learning for .NET Developers [Video]\2.Determining Aggression in User Comments\10.Using the Custom Model in the Web API.mp4
[e8eb0d26c19a5440]
|
22,607,403 |
C4F4BBBA |
|
Hands-On Machine Learning for .NET Developers [Video]\2.Determining Aggression in User Comments\08.Digging into the Code Learn What a Training Pipeline Is.mp4
[ecece7210896c05c]
|
15,430,169 |
F4EE8E94 |
|
Hands-On Machine Learning for .NET Developers [Video]\2.Determining Aggression in User Comments\09.Implementing a Pipeline for the Aggression Scorer.mp4
[3369aee3a9224dbb]
|
18,800,656 |
6EDA6665 |
|
Hands-On Machine Learning for .NET Developers [Video]\6.Classifying Images Using TensorFlow 'Transfer Learning' |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\4.Classifying News into Subjects |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\3.Evaluating, Improving, and Retraining Your Model |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\Exercise Files |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\1.Finding the Best Price on Laptops Using Price Prediction (Regression) |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\5.Building a Recommender System |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video]\2.Determining Aggression in User Comments |
0 |
00000000 |
|
Hands-On Machine Learning for .NET Developers [Video] |
0 |
00000000 |
|
| Total size: |
1,776,567,389 |
|
|
