Issues
- 0
- 0
Training Loss NAN
#17 opened by hychiang-git - 1
some questions about quantization and shift
#15 opened by Dawn-LX - 0
ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: <tf.Tensor 'shuffle_batch/sub/y:0' shape=() dtype=float32>
#16 opened by HaFred - 12
Where is the code for alpha in eq8?
#7 opened by jxgu1016 - 1
Question on Batch Normalization Layer
#13 opened by hustsxy - 1
Question about the quantization of weights
#14 opened by MarkYangjiayi - 2
About the debugging of your code.
#12 opened by MarkYangjiayi - 1
Accuracy for the float baseline
#10 opened by Tiiiger - 2
- 2
Training & Testing in Higher Precision
#9 opened by stevenygd - 12
out variable is float
#8 opened by mkusner - 5
Question about quantized values?
#6 opened by JingrenChen - 2
Should the data type of MNIST be int8?
#5 opened by suikammd - 2
y = Q(C(x, bitsW), bitsW)?
#4 opened by YanWang2014 - 5
python Top.py has an error from tensorflow. math_ops.maximum(0, queue.size() - min_after_dequeue)) *
#3 opened by libingict - 4
- 2
getting started
#1 opened by pribadihcr