Posted inPython modules TensorFlow
Implementing Convolutional Neural Networks with tf.keras.layers.Conv2D
Keras Conv2D parameters for optimal CNN performance. Analysis of kernel_size, filters, padding, and BatchNormalization. Also covers efficient SeparableConv2D layers and kernel_regularizer to combat overfitting. This approach improves accuracy, speed, and training stability in your network.