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

The video tutorial covers the process of building a neural network model using TensorFlow in Google Colab. It begins with importing necessary libraries like TensorFlow, NumPy, and Matplotlib. The Fashion MNIST dataset is loaded and explored, followed by data preprocessing steps such as scaling. A neural network model is constructed, compiled, and trained over several epochs. The tutorial demonstrates making predictions on test data using the trained model. Finally, it introduces the concept of convolutional neural networks as a next step for image data processing.

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