What is the significance of the term 'Inception' in the context of the Inception network?
Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: InceptionNet

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1.
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2.
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How does the Inception network decide which convolutional filters to apply at a particular layer?
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3.
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Explain the concept of an inception block and its components.
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4.
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Describe the process of concatenating tensors in the Inception network.
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5.
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What are the advantages of using 1x1 convolutions before larger convolutions in the Inception block?
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6.
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What is the final structure of an Inception net after combining different inception blocks?
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7.
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How does the Inception network address the issue of overfitting?
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