y33-j3T/Coursera-Deep-Learning
Jupyter Notebook solutions and notes from Coursera deep learning specializations covering TensorFlow, CNNs, RNNs, and generative models.
Not currently ranked — collecting fresh signals.
star history
This repository contains personal solutions for labs and programming assignments from Coursera deep learning courses, primarily the TensorFlow: Advanced Techniques Specialization. It includes work on custom models and layers, custom loss functions, Siamese networks, convolutional neural networks for image recognition, sequence models, and generative adversarial networks. All content is formatted as Jupyter notebooks using TensorFlow and Keras.
Frequently asked
- What is y33-j3T/Coursera-Deep-Learning?
- Jupyter Notebook solutions and notes from Coursera deep learning specializations covering TensorFlow, CNNs, RNNs, and generative models.
- Is Coursera-Deep-Learning open source?
- Yes — y33-j3T/Coursera-Deep-Learning is open source, released under the MIT license.
- What language is Coursera-Deep-Learning written in?
- y33-j3T/Coursera-Deep-Learning is primarily written in Jupyter Notebook.
- How popular is Coursera-Deep-Learning?
- y33-j3T/Coursera-Deep-Learning has 472 stars on GitHub.
- Where can I find Coursera-Deep-Learning?
- y33-j3T/Coursera-Deep-Learning is on GitHub at https://github.com/y33-j3T/Coursera-Deep-Learning.