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Showing posts with the label Deep Learning
Deep Learning (lstm) With Keras And Variable Size Of Inputs

Deep Learning (lstm) With Keras And Variable Size Of Inputs

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I am trying to implement a lstm model with keras. The problem is that I have data of different shap… Read more Deep Learning (lstm) With Keras And Variable Size Of Inputs
How To Reshape 3 Channel Dataset For Input To Neural Network

How To Reshape 3 Channel Dataset For Input To Neural Network

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I am trying to feed kth action dataset to a cnn. I am having difficulty with reshaping the data. I … Read more How To Reshape 3 Channel Dataset For Input To Neural Network
Backward Propagation In Keras?

Backward Propagation In Keras?

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can anyone tell me how is backpropagation done in Keras? I read that it is really easy in Torch and… Read more Backward Propagation In Keras?
Cost Function Outputs 'nan' In Tensorflow

Cost Function Outputs 'nan' In Tensorflow

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While studying the tensorflow, I faced a problem. The cost function output 'nan'. And, if… Read more Cost Function Outputs 'nan' In Tensorflow
Autotokenizer.from_pretrained Fails To Load Locally Saved Pretrained Tokenizer (pytorch)

Autotokenizer.from_pretrained Fails To Load Locally Saved Pretrained Tokenizer (pytorch)

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I am new to PyTorch and recently, I have been trying to work with Transformers. I am using pretrain… Read more Autotokenizer.from_pretrained Fails To Load Locally Saved Pretrained Tokenizer (pytorch)
Keras - Cnn Model Summary Diemension Interpretation

Keras - Cnn Model Summary Diemension Interpretation

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I am using Keras library to build this deep learning model: INPUT(depth=1, height=15, width=27) -&g… Read more Keras - Cnn Model Summary Diemension Interpretation