Making healthy meals at home can sometimes be a challenge. By taking a little time each week to batch cook we can save time, money and stress. Even those who prefer not to eat the same meal everyday ...

See https://arxiv.org/abs/1709.09603 for details. [2GPUs] pyhon3 train.py --model=resnet --depth=40 --widen_factor=10 --optimizer=adamg --grassmann=True --learnRate=0 ...

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...

TensorFlow is one of the best software libraries suited for AI and machine learning. It was developed by the Google Brain Team by partnering with Google’s machine ...

Abstract: Batch normalization (BN) is a fundamental unit in modern deep neural networks. However, BN and its variants focus on normalization statistics but neglect the recovery step that uses linear ...

Abstract: Batch Normalization is a widely used tool in neural networks to improve the generalization and convergence of training. However, on small datasets due to the difficulty of obtaining unbiased ...

Batch normalization (BatchNorm) is a widely adopted technique that enables faster and more stable training of deep neural networks. However, despite its pervasiveness, the exact reasons for ...

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.