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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Prediction of sgRNA on-target activity in bacteria by deep learning

Fig. 1

Components of constructed convolution layers and overall CNN_5layers construction. a The picture on the top shows details of the constructed convolution layer, which contains a convolution operation, a batch normalization and a leaky rectified linear unit in turn. The convolution kernel size is 3 ×1 and the output channel is 120. The simplified diagram is on the bottom. b The picture shows the overall CNN_5layers schema, including five convolution layers, five maximum pooling layers, and two fully-connected layers. All activation functions in CNN_5layers were LeakyReLU. One dropout layer which drops 30 percent was performed after each pooling operation and the first fully-connected layer

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