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Pneumonia Detection with Deep Learning
This project aims to build a deep learning model for the detection of pneumonia in chest X-ray images. The model is implemented using TensorFlow and Keras, …
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### Project Information
The objective of the project is to predict the captions for the input image. The dataset consists of 8k images and 5 captions for each image. The features are extracted from b…
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tried the example in notebook folder
(20, 3)
is_human heavy light
0 1 QVQ-LVQSGA-EVNKPGASVKVS…
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Problem Description:
Multiclass classification of facial emotions from grayscale images.
MODELS IMPLEMENTED
Convolutional Neural Network (for baseline model)
MobileNetV2 (for transfer-learning…
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First - this package is amazing and I am so relieved to see someone has been working to make importance diagrams work for Keras. This is an underdeveloped area and extremely gratifying to see.
[In…
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Hello,
Is there a keras wrapper for visualizing CNN-Fixations rather then Caffe framework? Can you guys update the code using Keras framework?
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auspex fails when executed with the suggested test file:
```
COMMAND LINE: auspex test/4puc.mtz
mtz
Traceback (most recent call last):
File "/home/de/miniconda3/envs/auspex/bin/auspex", line …
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Hi, thank you for sharing your results!
I tried to replicate your example by training the model again, even if the model structure appears to be the same as the one I get from MNIST_CNN.h5 and te…
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### 1. System information
- Linux Ubuntu 16.04
- TensorFlow installation 2.17
I want to convert this model and check if it could run on a Coral Edge TPU
### 2. Code
```
num_classes = 2
ba…
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file seems to be missing: trained_models/KEGG_keras_cnn_trained_model_shallow.h5