🤖 Working on Machine Learning
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Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
🤖 Working on Machine Learning
✍ Speeding up the GPT - KV cache
✍ Implementing a Simple Redirection Analytics with a touch of Data Science
✍ Speeding up function calls with just one line in Python
hi, i think you made a mistake in using keras BatchNormalization in autoencoder_7_4_symbol.ipynb. If you see in model summary you see that batch normalization layer has 14 trainable parameters that is because of scale and center parameters have True default value. I think you should use BatchNormalization as follows:
encoded2 = BatchNormalization(center=False, scale=False)(encoded1)
@immortal3 Does set_random_seed(3) ensure that during training,same noise is added to the output of the encoder or is it different?
Hi,
Current normalization layer is for phase shift keying constellations, right?
How to implement normalization layer for amplitude modulated constellations?
Regards,
Vishnu Raj
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