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GitHub / Develop-Packt / Introduction-to-Neural-Networks-and-Deep-Learning
This module covers the basics components of a neural network and its essential operations. It also explores a trained neural network created using TensorFlow
Stars: 0
Forks: 1
Open Issues: 31
License: mit
Language: Python
Repo Size: 44.9 KB
Dependencies:
298
Created: about 4 years ago
Updated: about 4 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: deep-learning, keras, neural-networks, tensorflow
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Dependencies
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- Flask ==1.1.1
- Flask-API ==2.0
- Flask-Caching ==1.8.0
- Flask-Cors ==3.0.8
- Flask-Testing ==0.7.1
- Jinja2 ==2.10.3
- Keras ==2.2.4
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- PyYAML ==5.2
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- Send2Trash ==1.5.0
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