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Test accuracy much higher than train accuracy on Cifar-100 and 470000 parameters

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modified 4 hours ago

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keras model accuracy not improving

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modified 6 hours ago

0 votes

1 answer

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What are the privacy and transparency advantages of open-source voice-to-AI tools like Ito compared to closed systems?

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modified 7 hours ago

1 vote

1 answer

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Does it classify as Machine Learning?

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modified 8 hours ago

0 votes

1 answer

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Are there cases where Variational Auto-Encoders (VAE's) are preferred to other techniques?

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modified 19 hours ago

3 votes

1 answer

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Should I be layer freezing when fine-tuning an LLM?

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modified 22 hours ago

2 votes

3 answers

262 views

Which objective tests have been developed to test the intelligence of AI?

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modified yesterday

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1 answer

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For given units of a measure of model complexity, how many examples do we need to train a network to get the model right and generalize?

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modified 2 days ago

5 votes

1 answer

605 views

What could be the cause of the drop in the reward in A3C?

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modified 2 days ago

6 votes

3 answers

1k views

What's the difference between architectures and backbones?

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modified 2 days ago

4 votes

2 answers

469 views

How can I determine the impact of an action taken by an agent on the next action taken by the agent?

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modified 2 days ago

2 votes

1 answer

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Why do modern LLMs still struggle with multi-step logical reasoning despite large context windows?

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answered 2 days ago

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Can Reinforcement Learning be done without Q function and a single Net?

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asked Mar 4 at 17:15

1 vote

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DDPG model outputting a fixed action at every timestep

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modified Mar 4 at 17:06

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Test accuracy much higher than train accuracy on Cifar-100 and 470000 parameters

keras model accuracy not improving

What are the privacy and transparency advantages of open-source voice-to-AI tools like Ito compared to closed systems?

Does it classify as Machine Learning?

Are there cases where Variational Auto-Encoders (VAE's) are preferred to other techniques?

Should I be layer freezing when fine-tuning an LLM?

Which objective tests have been developed to test the intelligence of AI?

For given units of a measure of model complexity, how many examples do we need to train a network to get the model right and generalize?

What could be the cause of the drop in the reward in A3C?

What's the difference between architectures and backbones?

How can I determine the impact of an action taken by an agent on the next action taken by the agent?

Why do modern LLMs still struggle with multi-step logical reasoning despite large context windows?

Can Reinforcement Learning be done without Q function and a single Net?

DDPG model outputting a fixed action at every timestep

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