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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:

• Learning Algorithms
• Propaedeutics of Deep Learning
• Most extreme Likelihood Estimation
• Regularization in Deep Learning
• Sorts of Neural Networks
• Bayes Estimation
• Definition and Development of Neural Networks
• Enactment Functions
• Normal Machine Learning Algorithms
• Perceptron and Training Rules
• Boundary Estimation
• Hyperparameter and Validation Set
• Uses of Deep Learning
• Enhancer
• Outline of Deep Learning