A no code platform to build, integrate and train your machine learning models.
Craft ML models with a simple click-to-connect framework. Choose layers, tweak settings, and link them to form your network. Design, iterate, and execute models, no coding required.
# unet
conv1 = Conv2D(4, (3, 3), activation='relu', padding='same')(input_img)
conv1 = Conv2D(4, (3, 3), activation='relu', padding='same')(conv1)
pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)
conv2 = Conv2D(8, (3, 3), activation='relu', padding='same')(pool1)
conv2 = Conv2D(8, (3, 3), activation='relu', padding='same')(conv2)
pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)
conv3 = Conv2D(16, (3, 3), activation='relu', padding='same')(pool2)
conv3 = Conv2D(16, (3, 3), activation='relu', padding='same')(conv3)
# Decoding path
up1 = UpSampling2D((2, 2))(conv3)
concat1 = Concatenate()([up1, conv2]) # Ensure dimensions match for concatenation
conv4 = Conv2D(8, (3, 3), activation='relu', padding='same')(concat1)
conv4 = Conv2D(8, (3, 3), activation='relu', padding='same')(conv4)
Copy paste the model directly to your desired python environment
import neuralflow as nf
NEURAL_FLOW_API_KEY="xxxxxxxxxxxxxxxxxxxx"
model = nf.getModel(
id="xxxx-xxxx-xxxx",
api_key=NEURAL_FLOW_API_KEY
)
No need to download everytime you edit, Import model from our package
You can also download model in tensorflow supported formats.
Bonny is an AI assistant that helps you save time by providing you with automatic node completion or creating and connecting nodes with your prompt.
Create a 2d Unet architecture with 3 depth layer. The input should be of 128, 128, 3 and 2 channel outputConnect your GitHub account to synchronize your model development process, enabling version control and collaborative review
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