Keras Image Classification Tutorial | Image Classification Using Deep Learning | Simplilearn 

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I got 70% accuracy and val accuracy with a few tweaks to the model model = VGG16(weights='imagenet',include_top = False) model = VGG16(include_top=False, input_shape=(150, 150, 3)) flat1 = Flatten()(model.layers[-1].output) class1 = Dense(128, activation='relu', kernel_initializer='he_uniform')(flat1) output = Dense(6, activation='softmax')(class1) # define new model model = Model(inputs=model.inputs, outputs=output) model.compile(optimizer = 'adam',loss ='sparse_categorical_crossentropy',metrics =['accuracy'])

Good explanation and please bring to us with more lectures

error: OpenCV(4.5.5) D:\bld\libopencv_1648505896421\work\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor' i got this error and i was not able to find the solution. do you have any recommendations?

Please give the link to the dataset

Please how can one get the data path for this?

where can i find dataset?

Can't find the dataset... Can you give me a link? Thank you.

the course is not free