Row 4533

Row ID: 4533 | Dataset Entry | Axioma AXP Content Repository

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I am trying to implement this paper https://arxiv.org/pdf/1706.01151, which is basically trying a Neural Network to predict bpsk transmission.

I have 30 transmitters each sending bpsk signal, so a total of 2^30 possible signals. On top of which noise will be added. I need a good way to train my model as I obviously can train only on a small subset of all possible data.

This is how paper mentions the training: We train the network using a variant of the stochastic gradient descent method [20],[21] for optimizing deep networks, named Adam Optimizer [22]. We used batch training with 5000 random data samples at each iteration, and trained the network for 50000 iterations.

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text I am trying to implement this paper https://arxiv.org/pdf/1706.01151, which is basically trying a Neural Network to predict bpsk transmission. I have 30 transmitters each sending bpsk signal, so a total of 2^30 possible signals. On top of which noise will be added. I need a good way to train my model as I obviously can train only on a small subset of all possible data. This is how paper mentions the training: We train the network using a variant of the stochastic gradient descent method [20]…
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-04-16
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{
  "text": "I am trying to implement this paper https://arxiv.org/pdf/1706.01151, which is basically trying a Neural Network to predict bpsk transmission. \n\nI have 30 transmitters each sending bpsk signal, so a total of 2^30 possible signals. On top of which noise will be added. I need a good way to train my model as I obviously can train only on a small subset of all possible data. \n\nThis is how paper mentions the training: We train the network using a variant of the stochastic gradient descent method [20],[21] for optimizing deep networks, named Adam Optimizer [22]. We used batch training with 5000 random data samples at each iteration, and trained the network for 50000 iterations.",
  "label": "r/neuralnetworks",
  "dataType": "post",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-04-16",
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