Given above is the architechture of my model but the edge impulse doesnt process the model properly i uploaded in Tflite format but it doesnt process the output properly has anyone got an idea about it
model = Sequential([
InputLayer(shape=(4, 1, 1)),
Conv2D(filters=64, kernel_size=(3, 1), activation=‘relu’),
MaxPooling2D(pool_size=(2, 1)),
Reshape((1, 64)),
LSTM(100, return_sequences=False, unroll=True),
Dropout(0.5),
Dense(50, activation=‘relu’),
Dense(2, activation=‘softmax’)
])
given above is my model architechture in tensorflow code
does anyone have a solution for this the below image shows how edge impulse processes this model
the test probbilities are shown below
the probability cant be 1.00 ryt even its a classification task