https://github.com/sondosaabed/introduction-to-deep-learning-with-keras

Using Keras in deep learning, covering tasks like predicting asteroid trajectories, binary classification of real and fake dollar bills, and reconstructing noisy images with neural networks.
https://github.com/sondosaabed/introduction-to-deep-learning-with-keras

deep-learning keras neural-network

Last synced: 6 months ago
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Using Keras in deep learning, covering tasks like predicting asteroid trajectories, binary classification of real and fake dollar bills, and reconstructing noisy images with neural networks.

• Host: GitHub
• URL: https://github.com/sondosaabed/introduction-to-deep-learning-with-keras
• Owner: sondosaabed
• License: mit
• Created: 2023-11-09T13:42:39.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-11-09T17:54:33.000Z (almost 2 years ago)
• Last Synced: 2025-03-29T16:34:23.383Z (6 months ago)
• Topics: deep-learning, keras, neural-network
• Language: Jupyter Notebook
• Homepage: https://www.datacamp.com/completed/statement-of-accomplishment/course/3c170fc060213bc7dd60cf508a6756c47830b78f
• Size: 17.3 MB
• Stars: 8
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Introduction-to-Deep-Learning-with-Keras

Deep learning is here to stay! It's the go-to technique to solve complex problems that arise with unstructured data and an incredible tool for innovation. As a student who has dived into this field, I found Keras to be a crucial framework that made it easier for me to embark on the journey of developing deep learning models. 

Throughout the course, I had the opportunity to learn regression, predicting asteroid trajectories to contribute to Earth's preservation. I delved into binary classification, distinguishing real from fake dollar bills, and engaged in multiclass classification, solving the mystery of who threw which dart at the dartboard. Exploring the artistic side, I learned to use neural networks to reconstruct noisy images and much more. The course also equipped me with the knowledge to better control my models during training and fine-tune them for enhanced performance.

![image](https://github.com/sondosaabed/Introduction-to-Deep-Learning-with-Keras/assets/65151701/8b285cb6-7e56-4915-b60f-dd3e5837deda)

### Course Material 

![image](https://github.com/sondosaabed/Introduction-to-Deep-Learning-with-Keras/assets/65151701/0831cfb7-f49b-4a3d-8f9a-e8ee6934da63)