[D] When I try to train the VGG16 model without batch normalization and with no pre-trained weights (i.e. training from scratch) on the CIFAR-100, the accuracy on the validation set is stuck at 1% and is not improving.

Original article was published by /u/DrFranklinRichards on Deep Learning

I am using SGD and CrossEntropy for training. Also, when I use the pre-trained weights the accuracy seems to increase and work fine. Please suggest how I can rectify this issue. Thanks.

Edit:

Code Link: https://colab.research.google.com/drive/1MJ5sBuUeirh1XQTshZi1amw_j5cZ0syV?usp=sharing

submitted by /u/DrFranklinRichards
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