[remote online training] give offline training ()
On the first day of deep learning in point:
1, deep learning review
2, the depth of the neural networks
3, the convolutional neural network (CNN) --
4, loop neural network RNN
5, antagonism generated net GAN
6, reinforcement learning DRL
7, migration study TL
Day 2: deep learning application
1, abstract modeling
2, the computer vision
3, the model of optimizing
On the third day: deep learning and application scenario
A, deep learning + medical
1. The disease prognosis analysis, survival analysis
2. Medical imaging, tumor position detection
3. Medical imaging: disease lesion area segmentation
4. Expert system + intelligent algorithm
Case study: the gastric cancer diagnosis and treatment survival analysis
Second, deep learning + remote sensing
Three, deep learning + oil exploration
Four, deep learning + transport