jaygshah / convolutional-neural-networks-deeplearning.ai

Convolutional-Neural-Networks-deeplearning.ai

• Week-1
  • Convolution_model_Application_v1a.ipynb
  • Convolution_model_Step_by_Step_v2a.ipynb
• Week-2
  • Keras_Tutorial_v2a.ipynb
  • Residual_Networks_v2a.ipynb
• Week-3
  • Autonomous_driving_application_Car_detection_v3a.ipynb
• Week-4
  • Art_Generation_with_Neural_Style_Transfer_v3a.ipynb
  • Face_Recognition_v3a.ipynb

convolutional-neural-networks-deeplearning.ai's Issues

No iteration in function model_nn of Art_Generation_with_Neural_Style_Transfer_v3a ?

It seems no iteration in function model_nn of assigment Art_Generation_with_Neural_Style_Transfer_v3a
And some line works fine like below:

    # Run the noisy input image (initial generated image) through the model. Use assign().
    ### START CODE HERE ### (1 line)
    generated_image = sess.run(model["input"].assign(input_image))
    ### END CODE HERE ###
    
    for i in range(num_iterations):
    
        # Run the session on the train_step to minimize the total cost
        ### START CODE HERE ### (1 line)
        sess.run(fetches=[train_step])
        ### END CODE HERE ###
        
        # Compute the generated image by running the session on the current model['input']
        ### START CODE HERE ### (1 line)
        generated_image = sess.run(model["input"])
        ### END CODE HERE ###