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Let's discuss visualizations and code for chapter 18 here. What are the main ideas from the chapter that could be turned into interactive/animated visualizations?
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> AI - 人工智能;AR - 增强现实;CV - 机器视觉;DL - 深度学习;DM - 数据挖掘;DS - 数据科学;DV - 数据可视化;IOT - 物联网;ML - 机器学习;NLP - 自然语言处理
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Suppose an original dataset contains 100 samples (pre-train data) , we try to train a model using 1000 unlabelled(pool data). Active learning picks up 10 samples for each iteration.
**Question**: Pr…
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What if `tf.stack` had the API:
```
tf.stack(
values,
axis=0,
name='stack',
algorithm='sequential'
)
```
Options for algorithm could be `sequential`, `parallel` to start. …
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Hi, @mmistakes , Thanks for sharing this great Jekyll theme.
I was trying to add Custom Sidebar Navigation Menu as you described in your webpage.
What I have done is to:
1) add directory to…
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In recent times, Machine Learning (ML) based algorithms have been able to achieve
very promising results on many pattern recognition tasks, such as speech, handwriting,
activity and gesture recogn…
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One way I look at dl4j is a repository of NN components that I can experiment different NN configurations.
I believe having a traditional multiLayer perceptron implementation could help with that.
Th…
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The gradient for the SVD op would be very useful so that it could be used in networks and cost functions. Currently when trying to use SVD I get the follow:
LookupError: No gradient defined for op…
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Hi, I am very appriciate to your code. Thank you so much.
I have two questions about PatternNet:
1. what's the quantity that is backproparated? Is it 'a'?
2. What's the backpropagation algorithm?…
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https://github.com/sagr4019/ResearchProject/wiki/Backpropagation