Today, I looked for applications of deep learning.
Summary:
Deep learning is a type of machine learning, which is well-suited to identification applications such as face recognition, text translation, voice recognition and advanced driver assistance systems.
Usually, there are hundreds of hidden layers of NN models, which needs millions of images and videos to train them. That is why deep learning algorithms can outperform human at classifying images, win against the world's best GO player, or enable a voice-controlled assistant.
However, I have not found applications for function approximation problems, which is like our research problem.
Tomorrow, I will continue to look for deep learning application similar to our research.
why are you doing this?
ReplyDeleteWhat is the progress on the geomechanical predictions??
You recommend that deep learning maybe a new way to the geomechanical predictions. I will try to see if it is applicable.
Deletefor deep learning you may have to shift your platform to tensor flow.
ReplyDeletemany platforms can do deep learning. I will first find application examples and then decide which platform to use.
Deleteif you plan to move to deep learning techniques.. you should get help from Hao LI... he will increase your speed of learning in this area... however, you obtained better results using ANN compared to DeePLearning used by Hao
ReplyDeleteOk, thanks for your recommendation, I will discuss with Hao after he comes back.
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