Community Computer Vision Course
Collection
In this collection I bring all the labs that I've been building while doing the Hugging Face Community Computer Vision Course
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2 items
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Updated
Simple Object Detection App
Convolution Network trained with CIFER-10 data set.
- Accuracy: 0.7875
- Loss: 0.6094
Model: "sequential"
| Layer (type) | Output Shape | Param # |
|---|---|---|
| conv2d (Conv2D) | (None, 30, 30, 32) | 896 |
| max_pooling2d (MaxPooling2D) | (None, 15, 15, 32) | 0 |
| conv2d_1 (Conv2D) | (None, 13, 13, 64) | 18,496 |
| max_pooling2d_1 (MaxPooling2D) | (None, 6, 6, 64) | 0 |
| flatten (Flatten) | (None, 2304) | 0 |
| dense (Dense) | (None, 64) | 147,520 |
| dense_1 (Dense) | (None, 10) | 650 |
Total params: 502,688 (1.92 MB)
Trainable params: 167,562 (654.54 KB)
Non-trainable params: 0 (0.00 B)
Optimizer params: 335,126 (1.28 MB)
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