Running a fine-tune model for my CNN : Value Error

We Are Going To Discuss About Running a fine-tune model for my CNN : Value Error. So lets Start this Python Article.

Running a fine-tune model for my CNN : Value Error

  1. How to solve Running a fine-tune model for my CNN : Value Error

    The Issue is with the loss function used when you compile the model.
    Replace the compile with below code:
    model.compile(optimizer='adam',loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
    metrics=['accuracy'])

  2. Running a fine-tune model for my CNN : Value Error

    The Issue is with the loss function used when you compile the model.
    Replace the compile with below code:
    model.compile(optimizer='adam',loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
    metrics=['accuracy'])

Solution 1

The Issue is with the loss function used when you compile the model.

Replace the compile with below code:

model.compile(optimizer=’adam’,loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
metrics=[‘accuracy’])

Original Author user17651088 Of This Content

Solution 2

Use tf.keras.utils.plot_model to print out a graphic representation of the model. you have a mismatch between the number of input and output nodes.

Original Author Todd Of This Content

Solution 3

Replace the loss function in compile with SparseCategoricalCrossentropy then you can rectify the error.

model.compile(optimizer='adam',loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])

Original Author Shankar P Of This Content

Conclusion

So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.

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I am an Information Technology Engineer. I have Completed my MCA And I have 4 Year Plus Experience, I am a web developer with knowledge of multiple back-end platforms Like PHP, Node.js, Python and frontend JavaScript frameworks Like Angular, React, and Vue.

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