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问题一:
![image](https://user-images.githubusercontent.com/18421586/41328269-ca7bcf06-6ef9-11e8-95e2-5971c017399d.png)
在将v1的模型转换成v3的模型的时候,由于新增的op 只是用于预测,,没有反向的逻辑,所以需要去掉上图中注释的地方。
![image](https://user-…
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When we customize an RNN-based model or just set `use_lstm` to `True`, we need to pad zeros to sampled data, as the function `TFPolicyGraph._get_loss_inputs_dict` does.
However, when calculating th…
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This is specifically regarding the train_from_largetext() option in character-level mode. The output text seems to be produced in chunks of around 300 characters with no continuity between them. This …
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In the training phase the _self.initial_state_ is used as _multi_cell.zero_state_ and _final_state_ of the last layer is kept:
self.initial_state = create_tuple_placeholders_with_default(multi_…
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Hi, have you tried `model.evaluate_on_batch`? I keep getting this error:
```
InvalidArgumentError (see above for traceback): You must feed a value for
placeholder tensor 'single_input' with dtyp…
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Hi, tianzhi,
I tried to implement CTPN training code on the framework of py-faster-rcnn (by RBG), but the results were different from yours (of course worse) .
1. Loss function. Did you revise the…
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We should make our slicing and assignment ops more general to capture more of the functionality of numpy slicing, and add `__getitem__` sugar for all of it. Specifically,
1. We should have a 2.5 dime…
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I am creating an encoder. Below is my code:
```
require 'nn'
-- basic lstm cell
-- input; x, previsou_state
function lstm(x, prev_c, prev_h)
-- Calculate all four gates in one go
local …
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I have read through your paper "Deep Tracking on the Move: Learning to Track the World from a
Moving Vehicle using Recurrent Neural Networks" [https://arxiv.org/pdf/1609.09365.pdf](url) and want to a…