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fizz buzz in tensorflow

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I think it may work better if you solve problem different way. Instead creating 1 input it may be better to split number in separate digits. I think it is...

By changing the number of neurons in the hidden layer the finished program predicts correctly for 1-100 when used with biases from #1

Last contribution was about a year ago and vital issues are still left open. Is this project going to receive further support?

This is great! Just for fun, I rewrote it in Pytorch.

In Tensorflow 1.0.0, throws ``` File "fizzbuzz.py", line 52, in cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(py_x, Y)) File "/Users/mstraeubig/miniconda3/envs/tensorflow3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 1578, in softmax_cros s_entropy_with_logits labels, logits) File "/Users/mstraeubig/miniconda3/envs/tensorflow3/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 1533, in _ensure_xent _args...