Understanding functional and technical aspects of Overview of artificial intelligence
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Understanding functional and technical aspects of Overview of TensorFlow, programming basics, and methods of using TensorFlow programming for image recognition, speech recognition, and human-machine dialogue
The following will be discussed in HUAWEI H13-311 exam dumps:
- Definition and Development of Neural Networks
- Outline of Deep Learning
- Regularization in Deep Learning
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- Enhancer
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- Bayes Estimation
- Sorts of Neural Networks
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Understanding functional and technical aspects of Overview of Deep Learning
The following will be discussed in HUAWEI H13-311 exam dumps:
- Repeat and Update Parameters to the Optimal Solution
- Characterizing the TensorFlow Input Node
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- Upgrading Functions and Objectives
- TensorFlow Overview
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- TensorFlow Basics
- TensorFlow Development Environment Setup
- TensorFlow Characteristics
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Cloud EI Overview | 8% | |
| Topic 2: Python Programming Basics | 20% | |
| Topic 3: TensorFlow Programming Experiment Guide | 2% | |
| Topic 4: Python Programming Experiment Guide | 5% | |
| Topic 5: Math Basics Experiment Guide | 5% | |
| Topic 6: Essential Mathematics for Deep Learning | 20% | |
| Topic 7: Overview of Deep Learning | 25% | |
| Topic 8: Overview of Artificial Intelligence | 9% | |
| Topic 9: TensorFlow Overview and Programming | 6% |
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