https://github.com/tensorflow/models/blob/master/object_detection/object_detection_tutorial.ipynb 这个模型在实例图像上表现得相当出色（如下图）：更进一步——在视频上运行上 接下来我打算在视频上尝试这个API。我使用了Python moviepy库，主要步骤如下：首先，使用VideoFileClip函数从视频中提取图像；然后使用fl_i...
Refactor for tensorflow-1.0rc1 (#77) Feb 7, 2017 01_linear_regression.py Refactor for tensorflow-1.0rc1 (#77) Feb 7, 2017 02_logistic_regression.ipynb Refactor for TensorFlow 1.0 (#69) Jan 15, 2017 02_logistic_regression.py Refactor for TensorFlow 1.0 (#69) ...
[4] Ad Click Prediction: a View from the Trenches https://www.eecs.tufts.edu/~dsculley/papers/ad-click-prediction.pdf [5] TensorFlow Wide & Deep Learning Tutorial https://www.tensorflow.org/tutorials/wide_and_deep 作者简介:陈开江@刑无刀,天农科技CTO,曾任新浪微博资深算法工程师,考拉FM算法主...
里面有一些使用tensorflow的tutorial,当然也可以自己创建新的notebook。 Datalab是支持bigquery的,用SQL获取数据后,用to_dataframe()转化成dataframe数据类型,就可以当成数据集使用了。 8.Al platform and AutoML Api Machine Learning engine改名为Al platform,目前支持tensorflow, sklearn和xgboost。 Google cloud提供了比...
8. 在 Tensorflow 版本之间切换 你可以很容易地在 Tensorflow 1 和 Tensorflow 2 之间切换。要切换到 Tensorflow 1.15.2，请使用以下命令：%tensorflow_version 1.x 要切换到 Tensorflow 2.2，请运行以下命令：%tensorflow_version 2.x 你需要重新启动才能生效。出于性能考虑，Colab 建议使用预安装的 Tensorflow ...
课程内容 你将学到的：从零开始全面理解 TensorFlow 2.0 人工神经网络 (ANN)卷积神经网络(CNN)递归...
This Colab compiles a TensorFlow Lite model for the Edge TPU, in case you don't have a system that's compatible with theEdge TPU Compiler(Debian Linux only). Run Colab on a Coral Dev Board This shows how to run a Jupyter notebook on your Dev Boardfroma Google Colab interface on your...
Tensorflow 1.7, both CPU and GPU. PyTorch 0.3, both CPU and GPU. Keras that works with Tensorflow 1.7。Keras工作在Tensorflow 1.7。 Caffe2, CPU only. Note that it is very different from the original Caffe. ...
Google TensorFlow深度学习笔记 Google Deep Learning Notes Google深度学习笔记 由于谷歌机器学习教程更新太慢,所以一边学习Deep Learning教程,经常总结是个好习惯,笔记目录奉上。 Github工程地址:https://github.com/ahangchen/GDLnotes 欢迎star,有问题可以到Issue区讨论...
This code was tested with TensorFlow 1.11.0. It was tested with Python2 and Python3 (but more thoroughly with Python2, since this is what's used internally in Google). The fine-tuning examples which useBERT-Baseshould be able to run on a GPU that has at least 12GB of RAM using the...