I follow the instructions and the examples but the loss increases instead of decrease,
Start fine-tuning!
batch 0 of 100, loss=1.1338427
batch 10 of 100, loss=45.494125
batch 20 of 100, loss=32279.213
batch 30 of 100, loss=45429.24
batch 40 of 100, loss=49855.926
batch 50 of 100, loss=51232.387
batch 60 of 100, loss=51545.312
batch 70 of 100, loss=51607.55
batch 80 of 100, loss=51563.16
batch 90 of 100, loss=51373.293
Done fine-tuning!
I’m getting in Exercise 6.1
tensorflow.python.checkpoint.checkpoint.Checkpoint
but Expected output:
tensorflow.python.training.tracking.util.Checkpoint
can I share code ?
and i Exercise 10: Define the training step is confuse to me,
is true_shape_tensor the shape of preprocessed_image_tensor.shape ?
or model.provide_groundtruth is after or before with tf.GradientTape() as tape:
because the ### START CODE HERE (Replace instances of None
with your code) ###
I hope some can help me