TL-DA-TF

Transfer Learning in Deep Architectures using TFLearn -> (Google)TensorFlow

Networks

Adjusted networks for 28x28x3 image inputs. Code for pre training and training (fine tuning).

VGG-11 VGG-16

• VGG-11/16: 16 and 11 layers.

AlexNet

• AlexNet: 8 layers.

LeNet-5

• LeNet-5: 5 layers.

Datasets

Source and target datasets explored for transfer learning combinations.

MNIST

RGB channels included (28x28x3)

SVHN

Images cropped to 28x28x3

CIFAR-10

Images cropped to 28x28x3