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## Description
Trying to use a `PrefetchingIter` to combine two `ImageRecordIter`. The two do not have the same number of images, but that shouldn't be a problem, right?
## Environment info (Req…
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1 - Feedforward
2 - RNN without output layer
3 - RNN with output layer
4 - Sequential RNN mimicking structure of mEC/lEC/hippocampus.
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**Summary**
In #9 a test plan will be created to define how feedforward gains will be found for the arm/wrist. The objective of this task is to implement commands that can be bound to buttons (or som…
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python3 imitate_episodes.py \
--task_name sim_transfer_cube_scripted \
--ckpt_dir \
--policy_class ACT --kl_weight 10 --chunk_size 100 --hidden_dim 512 --batch_size 8 --dim_feedforward 3200 \
--n…
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hi, why your `feedforward` layer use two `tf.layers.conv1d` instead of the two liear with relu proposed in paper? which is better?
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I thought add these features are needed for all types of neuron networks, so it would be nice to add them.
In addition, maybe we could switch between feedforward and backpropagation mode?
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There seems to be an example not linked to the docs website in the code base. Exponential Elevator Profile and one for simulation as well.
When looking at the code there doesn't seem to be a cor…
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Hi
In the page 14 of the paper,
> For evidence extraction we apply 2 layer feedforward networks on top of the representations corresponding to sentence and paragraph tokens to get the correspondi…
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Hi, I tried to run the command from the tutorial for model training, but it failed with the following error:
```
CUDA_VISIBLE_DEVICES=0 th feedforward_neural_doodle.lua -model_name skip_noise_4 -mas…
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Issue is somewhere with the feedforward in neural_network.cpp line 87. After this call, the "ff" may contain nan/-nan.
Update: It seems like the last layer is making the values go nuts.