forecasting customer traffic TuSimple • Computer Vision for Autonomous Driving Clarifai • Computer Vision APIs AWS 上的 AI 应用 • Pinterest Lens • Netflix 推荐引擎 数千名员工致力于人工智能领域 发现& 搜索 执行 &物流 现有产品的增强 定义新的产品分类 将机器学习拓 initialization • getAction() • setPerception(nextObservation,action,reward,termina l) • Resources: • http://ww1.sinaimg.cn/mw690/8708cad7jw1f8naomr mweg209n0fo7wj.gif • https://github.com/li-haoran/DRL-FlappyBird

integration for PyTorch and brings the capabilities of TensorRT directly to Torch in one line Python and C++ APIs. ‣ Starting with the 22.05 release, the PyTorch container is available for the Arm SBSA platform integration for PyTorch and brings the capabilities of TensorRT directly to Torch in one line Python and C++ APIs. ‣ Starting with the 22.05 release, the PyTorch container is available for the Arm SBSA platform integration for PyTorch and brings the capabilities of TensorRT directly to Torch in one line Python and C++ APIs. ‣ Starting with the 22.05 release, the PyTorch container is available for the Arm SBSA platform

Summit 2018 TensorFlow ������ Initial Release GPU & more TensorBoard 1.0 Release XLA, New APIs High-Level APIs tf.keras tf.data TF Lite Eager 2.0 Preview 15,000,000 Tracked by https://www.timqian

���Session���� • ����Optimizer���� ���� �� TensorFlow ������� TensorFlow ��� APIs Keras Estimators TensorFlow ��� APIs Keras Estimators TensorFlow �� TensorFlow ������ TensorFlow ��������������

and Compiling the Model The create_model() function, described below, uses the standard tensorflow APIs to create a model. We expect an input of shape [28, 28, 1] (excluding the first batch dimension).

outputs=outputs) We can now compile and train the model as usual, using the standard compile() and fit() APIs. def get_compiled_model( width_multiplier, num_classes=12, params={}): """Helper method to create

Perceptron http://www.iro.umontreal.ca/~vincentp/ift3395/lectures/backprop_old.pdf Perceptron：1958 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.335.3398&rep=rep1&type=p df Perceptron http://www categories https://youtu.be/aygSMgK3BEM Perceptrons’ Limitation: 1969 http://science.sciencemag.org/content/165/3895/780 Is it Winter? http://www.iro.umontreal.ca/~vincentp/ift3395/lectures/backprop_old.pdf Multi-Layer Perceptron is coming ▪ New Issue: How to train MLP ▪ Chain Rules => Backpropagation http://www.iro.umontreal.ca/~vincentp/ift3395/lectures/backprop_old.pdf Backpropagation: First Spark

openai.api_server --model Qwen/Qwen1.5-7B-Chat 然后，您可以使用 create chat interface 来与 Qwen 进行交流： curl http://localhost:8000/v1/chat/completions -H "Content-Type: application/json" - �→d '{ "model": "Qwen/Qwen1 OpenAI's API key and API base to use vLLM's API server. openai_api_key = "EMPTY" openai_api_base = "http://localhost:8000/v1" client = OpenAI( (续下页) 1.2. 快速开始 5 Qwen (接上页) api_key=openai_api_key, txt │ │ ├── tokenizer_config.json │ │ └── vocab.json 随后你需要运行 python server.py 来启动你的网页服务。请点击进入 `http://localhost:7860/?__theme=dark` 然后享受使用 Qwen 的 Web UI 吧！ 1.6.2 下一步 TGW 中包含了许多更多用途，您甚至可以在其中享受角色扮

ENFT-SFM or LS-ACTS • http://www.zjucvg.net/ls-acts/ls-acts.html • RKSLAM: • http://www.zjucvg.net/rkslam/rkslam.html • RDSLAM: • http://www.zjucvg.net/rdslam/rdslam.html • ACTS: • http://www.zjucvg.net/acts/acts 场景分析和理解 • 在VR/AR、机器人和无人驾驶领域 进行应用 Personal Homepage: http:www.cad.zju.edu.cn/home/gfzhang: Email: zhangguofeng@cad.zju.edu.cn ZJUCVG Group Website: http:www.zjucvg.net:

= X !" B Y C #` Z �����������BM25/CTR/CQR http://singhal.info/ieee2001.pdf Query = A B C D E Doc = X !" B Y C #` Z �����������BM25/CTR/CQR http://singhal.info/ieee2001.pdf Query = A B C D E #` Z ��������� �����������BM25/CTR/CQR http://singhal.info/ieee2001.pdf Query = A B C D E Doc = X !" B Y C #` Z ������ �����������BM25/CTR/CQR http://singhal.info/ieee2001.pdf Query = A B C