Deep Learning / visualizations

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A series of blog posts on visualizing deep learning.

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The last results of deep learning researches have initiate new waves of questions, wonders. One of them is how can, the deep learning, help the production and understanding of data visualization.

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hyperboard 🍂
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A web-based dashboard for Deep Learning

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tensorspace 🌿
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Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

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summit 🌿
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️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

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VisualDL 🌿
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Deep Learning Visualization Toolkit

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netron 🌿
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Visualizer for neural network, deep learning and machine learning models

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Audio Visualizations driven by Deep Learning

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program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!

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Used Python “keras” package to develop a unidirectional LSTM based deep learning model “encoder-decoder networks” for title generation on news data set. Improved the architecture by using attention. Created tensorboard visualizations to show the validation accuracy and loss. Evaluated the summaries using the ROUGE score.

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