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I would find it useful to have an example of convolutional auto-encoder. Would a tied max un-pooling layer be necessary, using switches from its twin pooling layer to keep track of argmax'es (as in Ze…
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Autoencoder convolucional?
Entiendo que si cada pixel es independiente, no tiene demasiado sentido usar algo convolucional. Pero para imágenes reales puede ser que sirva.
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## Objective
- Implement a model that can perform image colorization, transforming grayscale images into colorized versions using advanced deep learning techniques.
## Tasks
- Data Cleaning & Tra…
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## Objective
- Implement a model that can perform image noise reduction, enhancing the quality of images by reducing noise while preserving important features.
## Tasks
- Data Cleaning & Transforma…
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Original Repository: https://github.com/ml-explore/mlx-examples/
Listing out examples from there which would be nice to have. We don't expect the models to work out the moment they are translated to …
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**This is a(n):**
- [x ] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
3 months ago
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# References
+ [Introduction To Autoencoders In Machine Learning](https://youtu.be/NZ97-lFEUq8)
+ [Convolutional autoencoder for image denoising](https://keras.io/examples/vision/autoencoder/)
+ [B…
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