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sudharsan13296 / Hands-On-Meta-Learning-With-Python

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Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

reinforcement-learning tensorflow keras one-shot-learning reptile maml mann zero-shot-learning ntm shot-learning siamese-network relation-network metalearning few-shot-learning prototypical-networks meta-sgd matching-networks deep-meta-learning meta-imitation-learning prototypical-network
  • Updated Apr 17, 2020
  • Jupyter Notebook

snowkylin / ntm

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small correction about argument parsing in copy_task.py

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softgearko
softgearko commented Jan 19, 2018

When I run 'python3 copy_task.py --rnn_num_layers 3 --rnn_size 64 --max_seq_length 10 --memory_size 20 --memory_vector_dim 8 --vector_dim 4' , I got an error about argument converting.
So, I added "type=int," or "type=float" into add_argument()s in copy_task.py.

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('--mode', default="train")
    parser.add_argument
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