Shapes 2 2 and 2 1 are incompatible
Webb3 aug. 2024 · Your model's output shape is not the same as y_train.. You have 3360 samples. Each sample in X has shape (28,28,1) and in Y has (147).But your last layer has 2 neurons as output of len(np.unique(y), and they are incompatible (147 vs. 2). You should specify that you have 147 classes or 2 classes. Webb4 apr. 2024 · 1 1 The shape of your yTrain array is wrong, you are providing an array of shape (8, 128, 128) whereas it should be the same size as the array your model is predicting (i.e. (4,). Make sure that the yTrain variable contains the labels that your model should be predicting. – Oxbowerce Apr 4, 2024 at 12:31
Shapes 2 2 and 2 1 are incompatible
Did you know?
Webb8 maj 2024 · 2 I got this error ValueError: Shapes (None, 1) and (None, 3) are incompatible when training my Sequential model. I could not figure out which shapes are actually … Webb4 aug. 2024 · TF model ValueError: Shapes (None, 2, 1) and (None, 4, 4) are incompatible. Ask Question. Asked 1 year, 7 months ago. Modified 1 year, 7 months ago. Viewed 258 …
Webb29 juli 2024 · Epoch 1/50 1563/1563 [=====] - 25s 10ms/step - loss: 1.8524 - accuracy: 0.3163 - val_loss: 1.5800 - val_accuracy: 0.4311 Epoch 2/50 1563/1563 [=====] - 15s 9ms/step - loss: 1.5516 - accuracy: 0.4329 - val_loss: 1.4234 - val_accuracy: 0.4886 Epoch 3/50 1563/1563 [=====] - 17s 11ms/step - loss: 1.4365 - accuracy: 0.4789 - val_loss: … Webb30 juni 2024 · It now gives me the error: ValueError: Shapes (32, 2) and (32, 4) are incompatible. I want to classify each of the events has having 1,2,3 or 4 clusters, but …
Webbför 2 dagar sedan · Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams Webb11 apr. 2024 · Functional: Physical attributes that facilitate our work. Sensory: Lighting, sounds, smells, textures, colors, and views. Social: Opportunities for interpersonal …
Webb10 juli 2024 · ValueError: Shapes (None, 20246) and (None, 12) are incompatible. As I'm using a LSTM layer, I have a 3D input shape. My output layer has 12 nodes (y_train.nunique ()) because I have 12 different classes in my input. Given that I have 12 classes, I'm using softmax as activation function in my output layer and categorical_crossentropy as my …
Webb10 juni 2024 · ValueError: Shapes (None, 2) and (None, 3) are incompatible 0 Input 0 of layer "conv2d" is incompatible with the layer expected axis -1 of input shape to have value 3 cigar shop mcdowell 84th ave phoenixWebb17 okt. 2024 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. dhgate credit card applicationWebbför 2 dagar sedan · Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 784), found shape=(None, 28, 28) I think something is missing. I checked the professor's code and everything seems to be in check. I'm learning to create the architecture of the neural network. cigar shop lynchburg vaWebb17 okt. 2024 · The following code gives me error ValueError: Shapes (None, 3, 2) and (None, 2) are incompatible. What I want to do is to construct a multi-task network. How … dhgate credit card authorization formWebb16 juli 2024 · Y = Y.reshape((Y.shape[0], Y.shape[1]*Y.shape[0])) # shape (3,9) But in this case I lose the tuples in the list, which I want to keep, as every tuple corresponds to a … dhgate childrens clothingWebb26 feb. 2024 · Whatever I do, i can't fix this ValueError from coming up: ValueError: Shapes (35, 1) and (700, 35) are incompatible I'm new to tensorflow and am trying to build a "simple", maybe still somewhat big, neural network. I have tried changing the … cigar shop maryville tnWebbThe shapes of input are: (50, 50, 1) Should I remove one of the MaxPooling layers? I've seen it's good manners here to post the traceback aswell, so here it is: dhgate credit card charged double