Big Brother S22E21 Idhun s01e01 Enola Holmes 2020 aew Greenland 2020 dc week archer The 100 S07E15 minx After We Collided 2020 yts etmovies Ratched S01E04 the boys rq.mp4 Lovecraft Country S01E06 Lower Decks xxx the 100 Antebellum 2020 The War with Grandpa 2020 Tenet 2020 hindi Ava 2020 The Real Housewives of Beverly Hills S10E20 Ratched S01E05 Raised by Wolves S01E02 Ratched s01e06 alone 2020 Marvel week Bill and Ted Face the Music 2020 Raised by Wolves S01E09 Ratched S01E01 The New Mutants 2020 Ratched S01E02 Ratched S01E03 the boys S02E01 evo Americas Got Talent S15E23 tenet The Third Day S01E01 Raised by Wolves Raised by Wolves S01E07 star trek The Boys S02E05 Filthy Rich S01E01 ddr ettv WWE Raised by Wolves S01E06 Raised by Wolves S01E08 Unhinged 2020 Enola Holmes Wentworth S08E09 Power Book II Ghost S01E03 The Devil All the Time 2020 Raised by Wolves S01E05 Raised by Wolves S01E03 Raised by Wolves S01E01 tgx Archer s11e03 Lovecraft country 2160p Raised by Wolves S01E04 wentworth Mulan 2020 Deadliest Catch S16E23 The Masked Singer S04E01 ethd etrg The Boys S02E04 
Warning! Use a VPN When Downloading Torrents!
Your IP Address is 54.237.183.249. Location United States
Your Internet Provider can see when you download torrents! Hide your IP Address with a VPN
ETTV warns: You should use VPN to hide your torrenting. HIDE ME NOW
ETTV Recommended TV Shows
WWE Friday Night SmackDown 2020 09 18 HDTV x264-NWCHD [TJET] torrent
ITV.The.Real.Des.The.Dennis.Nilsen.Story.1080p.HDTV.x265.AAC.MVGroup.org.mkv torrent
NASCAR Xfinity Series 2020. R26. Food City 300. NBCSN torrent
I Hate Suzie 2020 S01 720p WEB-DL H264 BONE torrent
Love.Island.US.S02E23.WEB.h264-BAE torrent
Bering.Sea.Gold.S12E19.Freezer.Burn.DISC.WEB-DL.AAC2.0.x264-BOOP torrent

ETTV Recommended SD
Teenage.Badass.2020.HDRip.XviD.AC3-EVO torrent
The.Racer.2020.HDRip.XviD.AC3-EVO torrent
In.Other.Words.2020.HDRip.XviD.AC3-EVO torrent
The.Mongolian.Connection.2020.HDRip.XviD.AC3-EVO torrent

ETTV Recommended HD
Michael  (Comic Fantasy 1996)  John Travolta  720p  HD torrent
Jack the Giant Slayer 2013 BluRay 1080p AC3 x264-3Li torrent
The Fly And The Fly II - Horror 1986-1989 Eng Subs 1080p [H264-mp4] torrent
Along Came a Spider (2001) [Morgan Freeman] 1080p H264 DolbyD 5.1 💎 nickarad torrent

ETTV Recommended UHD
21.Jump.Street.2012.MULTi.2160p.BLURAY.HDR.DTS-HDMA.7.1.HEVC-DDR.mkv torrent
22.Jump.Street.2014.MULTi.2160p.BLURAY.HDR.DTS-HDMA.7.1.HEVC-DDR.mkv torrent
Les.Tontons.Flingueurs.1963.FRENCH.2160p.Bluray.SDR.DTS-HDMA.2.0.HEVC-DDR.mkv torrent
Whiplash.2014.2160p.HDR.BluRay.Atmos.7.1.HEVC-DDR.mkv torrent
The.Babysitter.Killer.Queen.2020.MULTI.2160p.HDR.WEB.EAC3.Hevc-DDR.mkv torrent
The.Devil.All.The.Time.2020.4K.MULTI.2160p.HDR.WEB.EAC3.Hevc-DDR.mkv torrent

ETTV Recommended Cam
The.Broken.Hearts.Gallery.2020.HDCAM.x264.LLG torrent
The Secrets We Keep 2020 HDCAM-C1NEM4 torrent

ETTV Recommended Foreign
Scoob! (2020) 720p BluRay x264 Eng Subs [Dual Audio] [Hindi DD 5.1 - English 2.0] Exclusive By -=!Dr.STAR!=- torrent
The Last House on the Left 2009 TC x264 720p Esub BluRay Dual Audio English Hindi GOPI SAHI torrent
The Captain 2019 x264 720p Esub BluRay Dual Audio English Hindi GOPI SAHI torrent
Spy Time (2015) 720p BluRay x264 Eng Subs [Dual Audio] [Hindi DD 2.0 - Spanish 2.0] Exclusive By -=!Dr.STAR!=- torrent
Brief Encounter (1974) 720p WEB-DL x264 Eng Subs [Dual Audio] [Hindi DD 2.0 - English 2.0] Exclusive By -=!Dr.STAR!=- torrent
Halahal 2020 x264 720p Esub Eros Hindi GOPI SAHI torrent

ETTV Recommended Music
The Police - The Singles YERAYCITO MASTER SERIES XX torrent
MAX - Colour Vision (2020) Mp3 320kbps [PMEDIA] ⭐️ torrent
Queen II - 1974 - mp3 - 320kbps - G&U torrent
Madonna - Immaculate Collection YERAYCITO MASTER SERIES XX torrent
Bee Gees - One Night Only YERAYCITO MASTER SERIES XX torrent
[indie-rock, prog-rock] (2020) The Pineapple Thief - Versions Of The Truth [FLAC] [DarkAngie] torrent


Download Torrent "PacktPub | Hands-On Machine Learning for .NET Developers [FCO]"

IMDB Details
Description:

N/A

Genre:

N/A

Download Torrent (Magnet)
Download Torrent (File)

Seeds: 180
Leechers: 40

Uploaded by:
Prom3th3uS


Category:
Tutorials > Tutorials


Details
Title:PacktPub | Hands-On Machine Learning for .NET Developers [FCO]
Description:
Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/




By: Karl Tillström
Released: June 2020
Course Source: https://subscription.packtpub.com/video/data/9781800205024

Use machine learning today without a machine learning background

Video Details

ISBN 9781800205024
Course Length 2 hours 47 minutes

Learn    

• Quickly implement machine learning algorithms directly within your current cross-platform .Net applications, such as ASP.Net Web.APIs, desktop applications, and Dotnet core console apps
• Use the advances in machine learning with models customized to your needs
• Automatically evaluate different machine learning models fast using AutoML, Model Builder, and CLI tools
• Improve and retrain your models for better performance and accuracy
• Basic overview of machine learning through a hands-on approach
• Use different machine learning algorithms to solve problems such as sentiment prediction, document classification, image recognition, product recommender systems, price predictions, and Bitcoin price forecasting
• Data loading and preparation for model training
• Leverage state of the art TensorFlow and ONNX models directly in .NET

About    

ML.NET enables developers utilize their .NET skills to easily integrate machine learning into virtually any .NET application. This course will teach you how to implement machine learning and build models using Microsoft's new Machine Learning library, ML.NET. You will learn how to leverage the library effectively to build and integrate machine learning into your .NET applications.

By taking this course, you will learn how to implement various machine learning tasks and algorithms using the ML.NET library, and use the Model Builder and CLI to build custom models using AutoML.

You will load and prepare data to train and evaluate a model; make predictions with a trained model; and, crucially, retrain it. You will cover image classification, sentiment analysis, recommendation engines, and more! You'll also work through techniques to improve model performance and accuracy, and extend ML.NET by leveraging pre-trained TensorFlow models using transfer learning in your ML.NET application and some advanced techniques.

By the end of the course, even if you previously lacked existing machine learning knowledge, you will be confident enough to perform machine learning tasks and build custom ML models using the ML.NET library.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-.NET-Developers-V

Features:
    
• Quickly get up and running using state-of-the-art machine learning algorithms in your .Net applications
• Implement machine learning algorithms using real-world data sets, without first learning math
• Leverage state-of-the-art (TensorFlow, ONNX) models, pre-trained by the tech giants, in your own .Net code

Author

Karl Tillström

Karl Tillström has been passionate about making computers do amazing things ever since childhood and is strongly driven by the magic possibilities you can create using programming. This makes advances in machine learning and AI his holy grail; since he took his first class in artificial neural networks in 2007, he has experimented with machine learning by building all sorts of things, ranging from Bitcoin price prediction to self-learning Gomoku playing AI. Karl is a software engineer and systems architect with over 15 years' professional experience in .Net, building a wide variety of systems ranging from airline mobile check-ins to online payment systems. Driven by his passion, he took a Master's degree in Computer Science and Engineering at the Chalmers University of Technology, a top university in Sweden. Follow him and learn more at: https://www.machinelearningfordevelopers.com.




Category:Tutorials > Tutorials
Lang:English  English
Total Size:1.66 GB
Info Hash:97794eab6014b24456e47f04ca46bdf4292d8dcc
Added By:Prom3th3uS
Date Added:28-06-2020 23:50:16

  

Files

File List: 
 File Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url286.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url239.00 B
0. Websites you may like/How you can help our Group!.txt208.00 B
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/01.The Course Overview.mp49 MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/02.Demo of the Application and How to Apply Machine Learning.mp412 MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/03.Installing the ML.NET Model Builder.mp47 MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/04.Automatically Generate a Model with the ML.NET Model Builder.mp48 MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/05.Using the Final Model in the Desktop Application.mp416 MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/06.Generating the Model Using the ML.NET CLI Tool.mp47 MB
2.Determining Aggression in User Comments/07.Demo of the Web API and the Wikipedia Aggression Dataset.mp47 MB
2.Determining Aggression in User Comments/08.Digging into the Code Learn What a Training Pipeline Is.mp415 MB
2.Determining Aggression in User Comments/09.Implementing a Pipeline for the Aggression Scorer.mp418 MB
2.Determining Aggression in User Comments/10.Using the Custom Model in the Web API.mp422 MB
3.Evaluating, Improving, and Retraining Your Model/11.Evaluating Your Model.mp417 MB
3.Evaluating, Improving, and Retraining Your Model/12.Splitting the Data into Training and Test Sets.mp48 MB
3.Evaluating, Improving, and Retraining Your Model/13.Retraining the Model with More Data.mp419 MB
3.Evaluating, Improving, and Retraining Your Model/14.Evaluating with Cross-Validation.mp416 MB
4.Classifying News into Subjects/15.Multiclass Classification and the UCI News Dataset.mp412 MB
4.Classifying News into Subjects/16.Using AutoML to Find a Suitable Model.mp412 MB
4.Classifying News into Subjects/17.Building the Pipeline and Evaluating the Performance.mp413 MB
4.Classifying News into Subjects/18.Explore the Effect of Imbalanced Data on the Metrics.mp415 MB
5.Building a Recommender System/19.The Restaurant Recommender.mp48 MB
5.Building a Recommender System/20.Building the Restaurant Recommendation Model.mp411 MB
5.Building a Recommender System/21.Exploring Hyper Parameters to Improve the Accuracy.mp442 MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/22.Image Classification and Our Dataset.mp46 MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/23.Deep Learning and Transferring Learnings from TensorFlow.mp415 MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/24.Training the Custom Image Classification Model.mp421 MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/25.Using the Trained Model in the Desktop Application.mp410 MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/26.Speeding Up Model Training Using the GPU.mp424 MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/27.What ONNX Is.mp46 MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/28.The FER+ ONNX Model.mp417 MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/29.Creating Our ONNX Pipeline.mp413 MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/30.Detecting Emotions in Images and Webcam.mp422 MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/31.Saving a ML.NET Model in ONNX Format.mp410 MB
Exercise Files/9781800205024_Code/SourceCode.zip1.23 GB



Comments

There are currently no comments. Be the first one to write something !