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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I could not find anything in the docs about how to handle different frequencies of time series. I have a Dataset A with monthly data that i want to use to predict the values from Dataset B that contains quarterly based data. So the target value e.g. quarter 1 is based on the values from month 1-3.
Dataset A (Features):
| Month | Value1 | Value2 | Value3 |
| ------------- | ------------- |
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Oct 26, 2019 - 225 commits
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Context
We would like to add torch::nn::functional::normalize to the C++ API, so that C++ users can easily find the equivalent of Python API torch.nn.functional.normalize.
Steps
- Add
torch::nn::NormalizeOptionstotorch/csrc/api/include/torch/nn/options/normalization.h(add this file if it doesn’t exist), which should include the following parameters (based on https://pytorch.
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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A complete daily plan for studying to become a machine learning engineer.
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📚 A practical approach to machine learning.
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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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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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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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The fastai deep learning library, plus lessons and tutorials
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Oct 26, 2019 - 5 commits
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I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration
If you have questions about the projects I suggested,
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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100-Days-Of-ML-Code中文版
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Oct 26, 2019 - 295 commits
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《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
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Oxford Deep NLP 2017 course
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Oct 25, 2019 - 64 commits
A curated list of awesome Deep Learning tutorials, projects and communities.
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Oct 26, 2019 - 315 commits
PyTorch Tutorial for Deep Learning Researchers
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Oct 26, 2019 - 151 commits
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Simple and ready-to-use tutorials for TensorFlow
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Oct 26, 2019 - 59 commits
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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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Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
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Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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Face recognition with deep neural networks.
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A neural network that transforms a design mock-up into a static website.
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Reference from TensorFlow: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/matrix-band-part
This op is used by the Music Transformer model.
Learn about deep-learning
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URL(s) with the issue:
In the 1.15 changelog:
https://github.com/tensorflow/tensorflow/releases/tag/v1.15.0
In the 1.15 docstring:
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/Model#save