From 3dbf84bd3bef3d44675ce5dd322783c78a02dfa6 Mon Sep 17 00:00:00 2001 From: hj Date: Tue, 23 Apr 2019 10:39:41 +0800 Subject: [PATCH] fix hyper-link --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1fb7104..9d1c207 100755 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ python dataset_maker.py ## Model Training In the training process, AutoDLa Design agent generates tokens and adjacency matrices used for training, and the trainer uses these tokens and matrices to construct and train convolutional neural networks. The validation accuracy after 20 epochs are used as feed back for the agent, and the agent updates its policy accordingly. After several iterations, the agent learns to find a quality deep neural network. -![Picture](./AutoDL Design/img/cnn_net.png) +![Picture](./AutoDL%20Design/img/cnn_net.png) Here we provide the following test on the method. ### Test on the convergence of the number of tokens produced @@ -78,6 +78,6 @@ step = 844, average accuracy = 0.808 ``` ### Results -![Picture](./AutoDL Design/img/search_result.png) +![Picture](./AutoDL%20Design/img/search_result.png) The x-axis is the number of steps, and the y-axis is validation accuracy of the sampled models. The average performance of the sampled models improves over time. -- GitLab