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

This video on Keras Image Classification Tutorial covers the basics of image classification and how to create neural networks using the Keras library. You will use the Intel data to peform image classification using Deep Learning. The video will also teach you how to use VGG16 CNN model to classify images.

The below topics are covered in this video:
00:00 What is Image Classification?
01:49 Intel Image Classification Data
02:16 Creating Neural Networks with Keras
03:41 VGG16 Model

#ImageClassification #KerasImageClassification #KerasImageClassificationTutorial #ImageClassificationUsingDeepLearning #ImageClassificationFromScratch #DeepLearning #DeepLearning #SkillUp #simplilearn

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[mprasad]

Good explanation and please bring to us with more lectures

[arnoldrosielle]

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 =
class1 = Dense(128, activation='relu',
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'])

[zinotrics]

Please how can one get the data path for this?

[youtubeseslikitaplik]

error: OpenCV(4.5.5) 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?

[HmedTchibo]

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

Thank you.