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 dennybritz.com
Implementing a CNN for Text Classification in TensorFlow ยท Denny's Blog
| | matthewrocklin.com
Experiment with Dask and TensorFlow
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| | [AI summary] The post details an experiment combining Dask and TensorFlow for distributed deep learning, covering hyperparameter searches, data preprocessing, and a parameter server setup for training on MNIST data.
| | blog.keras.io
Building Autoencoders in Keras
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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.
| | matthewearl.github.io
Number plate recognition with Tensorflow - Matt's Ramblings
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| | blog.scottlogic.com
The basics of the Layered Neural Network
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| Recently I've been learning about Neural Networks and how they work. In this blog post I write a simple introduction in to some of the core concepts of a basic layered neural network.