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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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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
1 month ago
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Train the traditional convolutional autoencoder. In the future, we possibly would like to cut from this architecture only the encoder part that might be used to train other E2E models for predicting t…
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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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# 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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- Convolutional Autoencoders (http://blog.keras.io/building-autoencoders-in-keras.html)
- Convolutional real values RBMs
Look in to implementing one or the other . Autoencoders in keras seem straight…
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A layer-wise training method for the convolutional autoencoder is used in (Masci, Jonathan, et al. "Stacked convolutional auto-encoders for hierarchical feature extraction." Artificial Neural Networks…