Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: FashionMNIST Example CNN

The video tutorial covers the transition from ordinary neural networks to convolutional neural networks (CNNs) using Google Colab. It explains the setup of convolutional and pooling layers, data preparation, and the construction of a CNN model. The tutorial also discusses compiling and training the model, evaluating its performance, and highlights the importance of avoiding overfitting. Finally, it provides an overview of TensorFlow's capabilities for deep learning.

What is the importance of feature scaling in the context of training a neural network?

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How can you define the architecture of a convolutional neural network?

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What techniques can be used to prevent overfitting in a neural network?

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Describe the process of making predictions with a trained convolutional neural network.

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