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 blog.otoro.net
Mixture Density Networks with TensorFlow |
| | r2rt.com
Implementing Batch Normalization in Tensorflow - R2RT
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| | matthewearl.github.io
Number plate recognition with Tensorflow - Matt's Ramblings
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| | kevinlynagh.com
Towards the cutest neural network
2.5 parsecs away

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| | [AI summary] The author discusses their experience developing a simple neural network for sensor data processing on a microcontroller, highlighting challenges with quantization and inference optimization.
| | blog.keras.io
Building Autoencoders in Keras
14.3 parsecs away

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| [AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics.