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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What does this PR do?
🚀 The feature, motivation and pitch
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis
Deep Learning for humans
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DeepFaceLab is the leading software for creating deepfakes.
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《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
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Caffe: a fast open framework for deep learning.
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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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Learn how to responsibly deliver value with ML.
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YOLOv5
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Pure Javascript OCR for more than 100 Languages
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A complete daily plan for studying to become a machine learning engineer.
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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PyTorch Tutorial for Deep Learning Researchers
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The most cited deep learning papers
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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.
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文本中如果有数字读不出来
This is a nice first issue:
Add types/docments to the Learner.get_preds function. This function is essential to any fastai user and has almost no documentation. Add types and text to the variables as we have in many places now.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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Jun 13, 2022 - Python
What happened + What you expected to happen
When initializing a Ray Trainer, we provide a logdir argument, and the __init__ method of the Trainer stores it as a logdir class variable.
Then, when creating a Trainable with Trainer.to_tune_trainable(), it in-turn calls _create_tune_trainable(), which does not use self.logdir. So when tune_function is defined inside `_create_tu
Roadmap to becoming an Artificial Intelligence Expert in 2022
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Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.