Dear Everybody,
My goal is to make the predictive model for forecasting the two possible situations of outputs as Yes or No. There are 6 features of the inputs and the output features are represented by Yes or No case. So, could anyone please help me by giving or recommending the effective methods of Deep Learning. It will be great or an honor to me for your response.
Thank you in advance.
Regards,
Phimmasone
Your Idea is nice and may be effective by training via deep learning algorithm. To do so, I would like to suggest you some links: https://keras.io/examples/imdb_cnn/
https://de.mathworks.com/products/deep-learning.html
https://de.mathworks.com/help/deeplearning/ref/trainingoptions.html
Good Luck & Enjoy Deep Learning.
Please look at the class
Machine learning
by professor
Yasser
from
Caltech university
on
YouTube
Dear Phimmasone Phim Thammavongsy ,
Regarding the output, LSTMs can be used.
However, to understand if LSTM is feasible for your problem, it is important to understand how much data do you have available and the input data type.
LSTMs are generally used for time/sequence related input data, such as time series or text. It is also more effective when you have lots of data available for training.
In generally if you have any continuous data then you can use LSTM for classifying or predicting the outputs. Continuous data means time dependent or change with respect to time . You'll get a satisfactory outcome while using LSTM n your case but make it sure that LSTM can be used for your data . Thanks.
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