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Thanks for your work.
I had a question about word2vec.
I ran both of your codes of word2vec viz Keras_word2vec.py and tf_word2vec.py !!
Keras word2vec with Tensorflow backend seems faster than Tensorflow word2vec. Ideally it should not. Keras is indirectly calling Tensorflow.
Tensorflow code took 1182 sec to run 15 iterations whereas Keras just took 796 seconds to run 15 iterations.
How is Keras faster than Tensorflow?
Can you please help me?
My CPU instance:
AWS Instance: C4.4 Large (Compute Optimized).
Intel® Xeon® CPU ES-2666 V3 @ 2.90 GHz
No. of CPU Cores = 16 2-CPU with 8 Cores/CPU
Memory = 30 GB
FPU = Yes
Thanks.
The text was updated successfully, but these errors were encountered:
Thanks for your work.
I had a question about word2vec.
I ran both of your codes of word2vec viz Keras_word2vec.py and tf_word2vec.py !!
Keras word2vec with Tensorflow backend seems faster than Tensorflow word2vec. Ideally it should not. Keras is indirectly calling Tensorflow.
Tensorflow code took 1182 sec to run 15 iterations whereas Keras just took 796 seconds to run 15 iterations.
How is Keras faster than Tensorflow?
Can you please help me?
My CPU instance:
AWS Instance: C4.4 Large (Compute Optimized).
Intel® Xeon® CPU ES-2666 V3 @ 2.90 GHz
No. of CPU Cores = 16 2-CPU with 8 Cores/CPU
Memory = 30 GB
FPU = Yes
Thanks.
The text was updated successfully, but these errors were encountered: