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Due to their predictive power, AI/deep learning methods are increasingly used in many predictive tools. The availability of libraries like tensor-flow or scikit-learn, which allow relatively easy impl…
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Hi @MahmoudAbdelRahman ,
Thanks for develope ANT such a great tool!
I eager to know and learn ANT for energy simulation with Honeybee integrate into ANT prediction results.
But I can't find any wor…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Crop Pest and Disease Detection
:red_circle: **Aim** : The aim of this project is to make a deep learni…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Cervical Spine Fracture Detection
:red_circle: **Aim** : Create a prediction and detection model which …
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Thank you very much for your work, it was very interesting! But I'm curious about how prototypes learn.
The article says that prototypes can be learned, represented as a linear layer in the code. Ho…
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In conv2d block function the x coming out from activation function after first layer should go in the second convolution layer instead of original input tensor.
The re-written code for second layer …
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Hi Alex, thanks so much for sharing the code! I am new to deep learning and found your commented code very helpful and clear.
I am attempting to run inference on single images from your study, usi…
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Firstly, thank you very much for sharing your code. However, during the verification process, some issues were discovered: the last dataset of the three datasets (Serverson's) I downloaded from the MI…
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Hello,
I ran the following command to do prediction but encountered this error:
**python3 run_bert_triple_classifier.py --task_name kg --do_train --do_eval --do_predict --data_dir data/umls --…
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We want to write a short gdoc explaining how a financial time series problem can be formulated in the classical ML paradigm of supervised learning.
Many prediction problems (e.g., price, volatility, …