Releases: Dobiasd/frugally-deep
Releases · Dobiasd/frugally-deep
v0.3.3-p0
- Once more reduce memory usage when loading a model
v0.3.2-p0
- Further reduce memory usage when loading a model
v0.3.1-p0
- Reduce memory usage when loading a model from file
v0.3.0-p0
- add support for variably shaped input tensors
- new layers supported: depthwise_conv_2d_layer, PReLU, relu6, average_layer, multiply_layer and subtract_layer
- improve error handling and messages
- fixed some minor bugs
- add support for MobileNet
- compatibility to Keras 2.2.0
v0.2.1-p0
Hunter support, CMake modernization
v0.2-p0
- Im2col convolution during prediction became faster, since some calculations now already happen already when loading a model.
- Support for non-im2col convolution was dropped.
v0.1-p0
add remarks about binary size and 32-bit compatibility