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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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shukob
shukob commented Nov 9, 2020

🐛 Bug

__init__ on SparseAdam iterates over params to check if sparse Tensors are included, but it does not take a possibility that the params is actually a generator for example in a case where we use model.parameters. Therefore it fails the initialization with ValueError: optimizer got an empty parameter list in such cases.

To Reproduce

Steps to reproduce the behavior:

julia

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 Oct 1, 2020
  • Python
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