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There is no example for Stochastic Gradient Descent in Chapter 8. I have tried to write one.
```
print("using minimize_stochastic_batch")
x = list(range(101))
y = [3*x_i + random.randint(-10,…
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Hello,
I'm encountering an issue using `BatchGradientDescent` with `param_constrainers`.
Here is an example of the issue:
``` python
from pylearn2.optimization.batch_gradient_descent import BatchGr…
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是我哪里弄错了吗?还是说就是要这么大的显存?
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We want to be able to do completely random mini-batch stochastic gradient descent ( or maybe other flavours...)
We could consider something like:
https://github.com/epapoutsellis/StochasticCIL/bl…
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# reset underlying graph data
tf.reset_default_graph()
# Build neural network
net = tflearn.input_data(shape=[None, len(train_x[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_con…
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```
def train():
"""Train CIFAR-10 for a number of steps."""
with tf.Graph().as_default(), tf.device('/cpu:0'):
# Create a variable to count the number of train() calls. This equals the
# …
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Hi @mari-linhares , thanks for the repo!
We are building on your code to implement a bit more general version of MAML that includes a batch of tasks within the inner loop and several steps of gradien…
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In the pytorch implementation of kfac, G1_ is computed as:
G1_ = 1/m * a1.grad.t() @ a1.grad
However, the a1.grad is different from the a_1 in (1) of kfac's paper. Specifically, when you do back…
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As discussed with @siddharthteotia, consider adding some common statistical analysis methods SQL language.
Few examples:
1. Pearson's coefficient
2. Sampling (bernoulli/stratified)
5. Histogram…
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![image](https://user-images.githubusercontent.com/23263731/200564311-220f4f34-3d31-4eb5-a5d1-6af2683cab5a.png)
![image](https://user-images.githubusercontent.com/23263731/200296378-68401e7c-…