搜索资源列表
advanced-function-tensorflow
- 使用tensorflow来实现更高级的功能,例如多gpu并行计算、tensorboard可视化-Tensorflow to use more advanced features, such as multi-gpu parallel computing, tensorboard Visualization
9_1_TensorBoard
- tensorboard
5-4 tensorboard visualization
- tensorflow手写数字识别学习,根据样本进行计算(learn TensorFlow with mnist)
tensorflow实战代码
- Tensorflow新手学习代码,包括AutoEncoder, CNN, DenoisingAutoEncoder, ImageToNum, MLP, softmax_regression,tensorboard 等(Tensorflow codes for novices, including AutoEncoder, CNN, DenoisingAutoEncoder, ImageToNum, MLP, softmax_regression, tensorboard, etc.)
tensorboard
- tensorflow手写数字识别,提高识别的准确率(Tensorflow handwritten numeral recognition, improve the accuracy of recognition.)
Tensorflow CNN
- 卷积神经网络识别手写数字,放在jupyter直接跑,99%识别率,已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
Deep learning tensorboard
- 这个一个人工智能中深度学习下的网络查看源码Tensorboard,网络运行过程中,通过对该代码的查看,可以及时了解网络性能,便于调节网络结构、参数等。
5-3
- Tensorboard 网络运行-可视化网络参数-可视化调参(deep learning, Convolutional Neural Network)
Tensorboard与可视化
- Tensorboard与可视化实现详细代码,希望对初学者有帮助哦!(Tensorboard and visual implementation of detailed code, hope to help beginners!)
深度学习基础
- 了解深度学习基本原理 掌握TensorFlow基本概念和应用 掌握tensorboard基本应用 掌握PaddlePaddle基本应用(Understand the fundamentals of deep learning Master the basic concept and application of tensorflow Master the basic application of tensorboard Master the basic application of