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TensorFlow Tutorial Part2
1. The document discusses TensorFlow tutorials for building machine learning models including logistic regression, multi-layer perceptrons (MLPs), and convolutional neural networks (CNNs). 2. It outlines the steps to load a custom dataset, define each model type, define necessary functions, and train each model. 3. The tutorials cover loading packages, defining the models, training functions, and comparing the different model types for classification tasks.
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TensorFlow Tutorial Part2
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- 2. Part1: TensorFlow tutorial Handlingimages Logistic regression Multi-layer perceptron Convolutional neural network
- 5. Overview 5 1. Load customdataset 2. Define Logistic regression model 3, Define functions 4. Train the model
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- 8. Define Logistic regressionmodel 8
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- 11. Review 11 1. Load customdataset 2. Define Logistic regression model 3, Define functions 4. Train the model
- 12. Part1: TensorFlow tutorial Handlingimages Logistic regression Multi-layer perceptron Convolutional neural network
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- 19. Review 19 1. Load customdataset 2. Define MLP model 3. Define functions 4. Train the model
- 20. Part1: TensorFlow tutorial Handlingimages Logistic regression Multi-layer perceptron Convolutional neural network
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- 25. Define CNN model(1/2) 25
- 26. Define CNN model(2/2) 26
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