schutera/DeepDive
This is the home of the Hands on Deep Learning Tutorial of the Lecture Computational Intelligence @KIT
This interactive tutorial helps mechanical engineers and other technical professionals new to deep learning understand how neural networks work. You'll work through a practical example of image recognition, learning how to prepare data, build a simple neural network with TensorFlow, and evaluate its performance. It's designed for anyone looking to get hands-on experience with deep learning fundamentals.
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Use this if you are a beginner looking for a practical, step-by-step introduction to deep learning with no prior setup required.
Not ideal if you already have experience with deep learning frameworks or are looking for advanced topics and complex model architectures.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 19, 2024
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