(Run the Demo: Using the ConvnetJS Tool to Visualize an MNIST Convnet)   Section 16.8 i ...

(Run the Demo: Using the ConvnetJS Tool to Visualize an MNIST Convnet)   Section 16.8 introduced Andrej Karpathy’s ConvnetJS browser-based deep-learning tool for training convolutional neural networks and observing their results. Visit the ConvnetJS website at https://cs.stanford.edu/people/karpathy/convnetjs/ and research its capabilities. Run the demo “Classify MNIST digits with a Convolutional Neural Network” and study the dashboard outputs described in Section 16.8 to get a better sense of what a convnet sees as it learns. Observe how changing the hyperparameters affects the model’s statistics, by modifying the layer parameters in the Instantiate a Network and Trainer section, then click the change network button to begin training with the updated model.:

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