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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Plant disease prediction
:red_circle: **Aim** :Plant Disease Prediction with Image Classification
:…
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**MNIST Dataset**
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a…
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I was wondering if any of you has been using the **DAG** module of matconvnet? I have been mainly training **linear CNNs** and would like to train now **DAG networks**. Could anyone share their experi…
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Hello Everyone,
I am trying to use my own dataset and CNN architecture(I took the cnn architecture from the example section of matconvnet) . The result is coming quite odd. top5 error is coming zero …
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Sure, here's a simplified outline of an improved SMO algorithm where the exploitation phase is replaced with cuckoo search algorithm for a deep learning classification task using Convolutional Neural …
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:red_circle: **Title** : Cassava Leaf Disease Classification Model
:red_circle: **Aim** : Brief approach for this project from a basic level upto highest possible accuracy.
:red_circle: **Brief Expl…
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I used mtq.INT8_default_CFG as recommended for CNN networks (mtq.quantize(model, config, forward_loop). My initial model ran at 80FPS after quantization it dropped to 40FPS? I checked the model struct…
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I tried to create a new header file for the DS-CNN by running:
```
python train.py --model_architecture ds_cnn ...
python fold_batchnorm.py --model_architecture ds_cnn ...
python quant_test.…
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Hello, the model architecture is bilstm-cnn-crf, I want to know where the cnn layer is?
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Hi,
I'd like to retrieve, during the evaluation the detailed architecture of the ensemble and its sub network.
Using
```python
def ensemble_architecture(result):
"""Extracts the ensemble arc…
shazz updated
4 years ago