Hi all, Got this error in this assignment: ValueError: Shapes (None, 1) and (None, 26) are incompatible model summary Model: “sequential_15” Layer (type) Output Shape Param # conv2d_34 (Conv2D) (None, 26, 26, 32) 320 max_pooling2d_33 (MaxPoolin (No…

@Darcos Here are some hints: Number of units in the output layer should equal the number of classes you want to classify, in the case of a multi-class classification problem. It’s sufficient to specify input_shape parameter for the 1st layer of a NN. Loss function should account for the encoding …

C2W4 ValueError: Shapes (None, 1) and (None, 26) are incompatible

Course Q&A TensorFlow Developer Professional Convolutional Neural Networks in TensorFlow

shurjeel February 10, 2024, 6:43pm 21

Thanks, i got the same problem and resolved by using sparse_categorical_crossentropy as loss…

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C2W4 ValueError: Shapes (None, 1) and (None, 26) are incompatible

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