# Choose `mixed_7` as the last layer of your base model last_layer = pre_trained_model.get_layer('mixed7') print('last layer output shape: ', last_layer.output_shape) last_output = last_layer.output # Flatten the output layer to 1 dimension x = layers.Flatten()(last_output) # Add a fully connected …

Understanding TF Model constructor

Course Q&A TensorFlow Developer Professional Convolutional Neural Networks in TensorFlow

Deepti_Prasad June 15, 2023, 6:41am 11

now I need help for week 4 assignment, my model is giving training accuracy of only 86% and validation accuracy of 94%. can you suggestion where I could go which would improve. I used only 2 layers for the model as it was mentioned use no more than 2

Training accuracy 86% validation 94%, required training accuracy 99% validation accuracy 95%

Topic		Replies	Views
Create a new model using tranfer learning. It works.... but why? Convolutional Neural Networks in TensorFlow week-module-2	3	475	March 31, 2023
Appending Dense layer to Pretrained Model Convolutional Neural Networks in TensorFlow week-module-3	1	491	December 11, 2022
Error on adding layers to pretrained model Convolutional Neural Networks in TensorFlow week-module-3	1	415	July 13, 2023
Use of inception input in Model class Convolutional Neural Networks in TensorFlow week-module-3	1	506	September 1, 2022
Why model = Model(pre_trained_model.input, x) would include the layers before 'mixed7'? Convolutional Neural Networks in TensorFlow week-module-3	26	404	March 4, 2024

Understanding TF Model constructor

Related topics