#keras #experiments #ParallelNetworks #Merge

Experiments to build hybrid approach of models. Leverage different convolutions, activation functions.

For custom training vision tasks. Get Features from both vggnet, resnet

• Resnet - 224 x 224 x 3
• Vgg16  - 224 x 224 x 3

Feature Vectors

• VGG16 feature shape — (1L, 7L, 7L, 512L)
• VGG19 feature shape — (1L, 7L, 7L, 512L)
• InceptionV3 feature shape — (1L, 5L, 5L, 2048L)
• ResNet50 feature shape — (1L, 1L, 1L, 2048L)

Inputs

• Sobel, Laplace Transformations
• Shareped X / Y Axis edges
• Multiple inputs

Further Techniques

• Apply different convolution filters
• Apply different activation functions
• Append different weights and analyze

Keep Exploring!!!