Khizar Aziz

icon indicating a website link khizerawan.github.io

icon location Germany icon location Data Sciences | Machine learning | Python | SQL | Deep Learning | Data Processing

Results 2 comments of Khizar Aziz

ValueError: Input 0 of layer conv1 is incompatible with the layer: : expected min_ndim=4, found ndim=3. Full shape received: [32, 64, 3]

i have found the solution, so you just need to np.expand_dim() each image in tri_imgs array.. then pass tri_imgs array to model.predict(). it will work fine

I get "TypeError: 'NoneType' object is not callable" when train model

The problem was related to the age_data_generator. `out2 = [candis.age.to_numpy(), np.array([two_point(x, category, interval) for x in candis.age.to_numpy()])] yield [imgs[:,0], imgs[:,1], imgs[:,2]], out2` I changed above code to: `out2 = np.array([two_point(x,...