TensorFlow 2: Basics and Practices of Deep Learning
The key idea of deep learning lies in the construction of deep neural networks. If you start to build a deep neural network by yourself from the very beginning, the whole process will be complicated. Therefore, in order to implement models of deep learning more easily, we need to grasp how to use some common deep learning frameworks. By now, in the deep learning community, the most popular frameworks are TensorFlow and PyTorch, and they have their own unique characteristics. Because TensorFlow i
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LabConcepts and Syntax of TensorFlow 2
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LabImplementation of Computing Derivative and Automatic Differential
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LabLinear Regression Implemented by TensorFlow 2
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LabPolynomial Regression Implemented by Low-level API
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LabShallow Neural Network Implemented by TensorFlow 2
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LabClassification of Car Safety Evaluation Dataset
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LabDeep Neural Network Implemented by TensorFlow 2
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LabImplementation of Classic Convolutional Neural Network
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LabTensorFlow 2 Model Saving and Restoring
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LabAnswers for Challenge Courses
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