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Hello,
I am just wondering - maybe this is not an issue.
When you do this in the samples (Resilient Backpropagation -> Sample data (Time Series))
```c#
for (int i = 0, n = data.Length - windowSize…
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Hi, really cool implementation!
I noticed that when I run your examples although both models achieve convergence, the accuracy of the forward grad method is always worse than that of regular backp…
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Hi @ekolve @Lucaweihs @mattdeitke @everyone,
I'm doing RL, and was trying to create multiple sim envs at the same time and speed up for rollouts collection with multi-threads. But I found out even …
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https://arxiv.org/abs/1506.05254
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Hello, dear author, your code has helped me a lot, I am very grateful. I noticed comments in the code, such as "# calculate eq." 7 in updated SAC paper ", I want to know which paper you refer to imple…
gorkr updated
7 months ago
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1. How many nodes we need to create a neural network?
2. What kind of activation function we have to use?(e.g. sigmoid, tanh, ReLU)
3. What is the exact process of backpropagation?
4. What is regre…
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Hi,
I want to change all data types from `double` to `int16_t`. In `genann.h` addition :
`typedef int16_t ann_t;`
Then change every occurrence of `double` to `ann_t`. Now modifying `example1.…
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There should be a generic intro to ML and how to train an algorithm, with a reference to gradient descent which is in the maths folder and not super visible there.
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I want to implement backpropogation algorithm from scratch in python and explain the maths behind it. Can you please assign it to me?, I am a participant of GSSOC'21.
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i was wondering if there is an option to freeze specific layers during training. I have used Stopbackward but i'd liek to know if there is an option like noupdates for a certain layer.