nnom
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majianjia
A higher-level Neural Network library for microcontrollers.
I met with a Error when running rnn-denoise example, "ValueError: Input 0 is incompatible with layer gru: expected shape=(2048, None, 40), found shape=[32, 1, 40]" This Error occurs in the...
I have a siamese model, try to use generate_model(model, x_val, name=weights), but i don't know how to transform data to x_val? my model input is ([img1, img2], label), img1 and...
For a project, i have trained 2 CNN (Lenet and resnet) on the dataset GTSRB. Then I used Nnom to put them on microcontrollers. The accuracy of Lenet is 99,4%...
I think #include "layers/nnom_avgpool.h" is missing in nnom/inc/nnom_layers.h If i add it it is ok
Hi @majianjia . Thank you fir the project you have developed, It is very handy. I am trying to use the code developed here with a LSTM network. I saw...
Hello, I was trying to use a model wide-resnet (an implementation of the model resnet_v1 in https://keras.io/zh/examples/cifar10_resnet/ with the parameter n=1 and num_filters = 8). I was using the version...
Hello my model have 1 output with a value from 0.0 to 1.0 ``` x=Dense(1)(x) predictions=Activation('sigmoid')(x) ``` then when my float model ouput are 1 my optimized model output are...
Hi, It appears that when you try to create a weight file for depthwise seperable conv layers there are a few problems 1.) Missing biases and output shifts - these...
求解决方法 layer[0] = Input(shape(63, 12, 1), nnom_input_data); layer[1] = model.hook(Conv2D(16, kernel(5, 5), stride(1, 1), PADDING_VALID, &conv2d_1_w, &conv2d_1_b), layer[0]); layer[2] = model.active(act_relu(), layer[1]); layer[3] = model.hook(MaxPool(kernel(2, 1), stride(2, 1), PADDING_VALID), layer[2]);...
Mish is a new novel activation function proposed in this [paper](https://arxiv.org/abs/1908.08681). It has shown promising results so far and has been adopted in several packages including: - [TensorFlow-Addons](https://github.com/tensorflow/addons/tree/master/tensorflow_addons/activations) - [SpaCy...
