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Learning AI
Machine Learning cơ bản
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AI
Machine Learning
Advanced Machine Learning .NET Applications
0 students
Last updated
Jan 2025
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Overview
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Course content
Sections:
1
•
Activities:
1
•
Resources:
33
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Section 1
General
Announcements
001 Advanced machine learning NET Ivwq gitir
002 What you should know BLbC gitir
003 Collecting data correctly dxVb gitir
004 Utilize SME 7PX0 gitir
005 Data types and structure U98c gitir
006 Business logic JLDf gitir
007 Outliers CMVp gitir
008 Biases YpXR gitir
009 Data cleansing tools o63y gitir
010 Demo Checking data 4ahB gitir
011 What is ONNX 0AQ9 gitir
012 Set up the NET project for ONNX banw gitir
013 Create a model QUKE gitir
014 Generate an ONNX model x4K8 gitir
015 Using Netron 637B gitir
016 Demo Generate an ONNX model in Visual Studio W8jZ gitir
017 Image recognition vs categorization I7dz gitir
018 What is TensorFlow B3Cg gitir
019 Set up the NET project for TensorFlow p5Ut gitir
020 Train the model R2bB gitir
021 Evaluate the model 9jzB gitir
022 Demo Train a TensorFlow model in Visual Studio nSm2 gitir
023 What is MLOps Zedo gitir
024 Retraining the model UggX gitir
025 Versioning WR1z gitir
026 Source control YPR3 gitir
027 Machine Learning Model not in the context menu VNoI gitir
028 Is 32 bit supported on Windows xhQW gitir
029 Ensure the app is targeting x64 or x86 ZUTi gitir
030 New project with a different build target odqN gitir
031 Challenge Training and comparing ML NET models AfMc gitir
032 Solution Training and comparing ML NET models DRC2 gitir
033 Next steps axIu gitir
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Advanced Machine Learning .NET Applications
Course modified date:
6 Jan 2025
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