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Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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blazejdolicki
blazejdolicki commented May 27, 2021
System information (version)
  • OpenCV => 4.2
  • Operating System / Platform => Windows 64 Bit
  • Compiler => Visual Studio Code 1.56.2
Detailed description

When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path

Steps to reproduce
import cv2
# Read i
nmichlo
nmichlo commented Jun 23, 2021

🚀 Feature

Add drop_remainder: bool = True support to torch.chunk and torch.split

  • similar in function to drop_last in torch.utils.data.DataLoader
  • If the length of the dimension is not perfectly divisible, drop the remaining elements from the returned arrays.

Add redistribute: bool = True support to torch.chunk and torch.split

  • Spread the elements evenly across the c

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated May 13, 2021
  • Python
george-skal
george-skal commented Jun 28, 2021

Hi all!
I am trying a self-play based scheme, where I want to have two agents in waterworld environment have a policy that is being trained (“shared_policy_1”) and other 3 agents that sample a policy from a menagerie (set) of the previous policies of the first two agents ( “shared_policy_2”).
My problem is that I see that the weights in the menagerie are overwritten in every iteration by the cur

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