QCon北京2018-《从键盘输入到神经网络--深度学习在彭博的应用》-李碧野© 2018 Bloomberg Finance L.P. All rights reserved. Qcon Beijing April 21, 2018 Biye Li Team Manager, Data Technologies Automation Xiangqian Yu Team Lead, Derivatives Data From Keyboards to Neural Networks hms#/media/File:Moving_From_unknown_to_known_feature_spaces_based_on_TS-ELM_with_random_kernels_and_connections.tif https://commons.wikimedia.org/wiki/Category:Machine_learning_algorithms#/media/File: els_and_connections.tif https://commons.wikimedia.org/wiki/Category:Machine_learning_algorithms#/media/File:OPTICS.svg May be re-distributed in accordance with the terms of the CC-SA 4.0 license https://creativecommons0 码力 | 64 页 | 13.45 MB | 1 年前3
PyTorch Release Notessoftware that you installed to prepare to run NGC containers on TITAN PCs, Quadro PCs, or NVIDIA Virtual GPUs (vGPUs). Procedure 1. Issue the command for the applicable release of the container that install a Conda package manager, and add the conda path to your PYTHONPATH for example, using export PYTHONPATH="/opt/conda/lib/python3.8/site-packages" if your Conda package manager was installed in /opt/conda install a Conda package manager, and add the conda path to your PYTHONPATH for example, using export PYTHONPATH="/opt/conda/lib/python3.8/site-packages" if your Conda package manager was installed in /opt/conda0 码力 | 365 页 | 2.94 MB | 1 年前3
PyTorch Brand Guidelinesbest serve these needs. When applying color in the digital environment; web, app, and social media posts, please reference the digital RGB or hex code equivalent. When printing, please use CMYK best serve these needs. When applying color in the digital environment; web, app, and social media posts, please reference the digital RGB or hex code equivalent. When printing, please use CMYK0 码力 | 12 页 | 34.16 MB | 1 年前3
keras tutorialinstallation is quite easy. Follow below steps to properly install Keras on your system. Step 1: Create virtual environment Virtualenv is used to manage Python packages for different projects. This will be helpful recommended to use a virtual environment while developing Python applications. Linux/Mac OS Linux or mac OS users, go to your project root directory and type the below command to create virtual environment configure python and pip executables in your shell path. Linux/Mac OS Now we have created a virtual environment named “kerasvenv”. Move to the folder and type the below command, $ cd kerasvenv0 码力 | 98 页 | 1.57 MB | 1 年前3
人工智能发展史umontreal.ca/~vincentp/ift3395/lectures/backprop_old.pdf ▪ 2015 https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf AlphaZero http://www.iro.umontreal.ca/~vincentp/ift3395/lectures/backprop_old0 码力 | 54 页 | 3.87 MB | 1 年前3
亚马逊AWSAI Services Overview02/24/2017 Hotel Booking 与 AWS Mobile Hub 集成 Authenticate users Analyze user behavior Store and share media Synchronize data More …. Track retention Conversational Bots Lex AWS Mobile SDKs AWS Mobile Hub0 码力 | 56 页 | 4.97 MB | 1 年前3
《Efficient Deep Learning Book》[EDL] Chapter 4 - Efficient Architectureswithout a significant quality compromise. Project: Snapchat-Like Filters for Pets Popular social media applications like Instagram or Snapchat have filters which can be applied over photos. For example0 码力 | 53 页 | 3.92 MB | 1 年前3
《TensorFlow 快速入门与实战》2-TensorFlow初接触Jupyter Notebook ��� TensorFlow “Hello TensorFlow” Try it ������ TensorFlow VM vs Docker Container Virtual Machine Docker Container � Docker ��� TensorFlow https://hub.docker.com/editions/community/docker-ce-desktop-mac0 码力 | 20 页 | 15.87 MB | 1 年前3
机器学习课程-温州大学-15深度学习-GAN历史平均(historical averaging) d.单边标签平滑(one-sided label smoothing) e.虚拟批量正则(virtual batch normalization) 2. GAN的理论与实现模型 24 03 GAN 的应用 01 生成式深度学习简介 02 GAN的理论与实现模型 040 码力 | 35 页 | 1.55 MB | 1 年前3
动手学深度学习 v2.0eecs.berkeley.edu/~rcs/research/interactive_latency.html 148 https://static.googleusercontent.com/media/research.google.com/en//people/jeff/Stanford‐DL‐Nov‐2010.pdf 149 http://inst.eecs.berkeley.edu/~cs152/sp19/ Notebook并加载插件: pip install d2l-notedown # 你可能需要卸载原始notedown jupyter notebook --NotebookApp.contents_manager_class='notedown.NotedownContentsManager' 要在运行Jupyter Notebook时默认打开notedown插件,请执行以下操作:首先,生成一个Jupyter 以 下 行 (对 于Linux/macOS, 通 常 位 于~/.jupyter/ jupyter_notebook_config.py): c.NotebookApp.contents_manager_class = 'notedown.NotedownContentsManager' 在这之后,你只需要运行jupyter notebook命令就可以默认打开notedown插件。 在远程服务器上运行Jupyter0 码力 | 797 页 | 29.45 MB | 1 年前3
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