A Quick and Dirty Progressive Neural Network written in TensorFlow.

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Deep Learning prog_nn
Overview

prog_nn

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A Quick and Dirty Progressive Neural Network written in TensorFlow.

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Comments
  • bug:TypeError: Fetch argument

    bug:TypeError: Fetch argument

    hi , I got the following issues, when I running the program. Please help fix it :) thanks. Traceback (most recent call last): File "/home/amo2/git/prog_nn/prog_nn.py", line 195, in test_ProgNN() File "/home/amo2/git/prog_nn/prog_nn.py", line 154, in test_ProgNN feed_dict={col_0.o_n:fake1}) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 340, in run run_metadata_ptr) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 523, in _run processed_fetches = self._process_fetches(fetches) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 493, in _process_fetches % (subfetch, fetch, type(subfetch), str(e))) TypeError: Fetch argument [<tf.Tensor 'Placeholder:0' shape=(?, 128) dtype=float64>, <tf.Tensor 'Relu:0' shape=(?, 100) dtype=float64>, <tf.Tensor 'Relu_1:0' shape=(?, 64) dtype=float64>, <tf.Tensor 'Relu_2:0' shape=(?, 25) dtype=float64>, <tf.Tensor 'Softmax:0' shape=(?, 9) dtype=float64>] of [<tf.Tensor 'Placeholder:0' shape=(?, 128) dtype=float64>, <tf.Tensor 'Relu:0' shape=(?, 100) dtype=float64>, <tf.Tensor 'Relu_1:0' shape=(?, 64) dtype=float64>, <tf.Tensor 'Relu_2:0' shape=(?, 25) dtype=float64>, <tf.Tensor 'Softmax:0' shape=(?, 9) dtype=float64>] has invalid type <type 'list'>, must be a string or Tensor. (Can not convert a list into a Tensor or Operation.)

    opened by amoliu 3
  • Adapters are not implemented in the code.

    Adapters are not implemented in the code.

    Hi, your code is easy to understand, however, it seems that adapters are not implemented in the code. In the Progressive Neural Network, adapters are needed to improve initial conditioning and perform dimensionality reduction.

    image

    opened by GoingMyWay 0
Owner
SynPon
SynPon
GitHub
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