tf-devanagri

Convolutional Neural Network to identify Devanagri characters implemented in Tensorflow.

Data

• n_classes = 104
• Size = 320x320
• Format = Binary, PNG

Results and Preprocessing

• 94.6 +/- 0.07 % accuracy on test data.
• 30 epochs in 30 mins of training time on a 4 GB NVIDIA GT920M GPU and i7 CPU.
• 10x downsampling to get 32x32 images.
• 3-iterations of binary dilation to make characters thicker.

Network

Architecture

• Conv2d 7x7 1
• Conv2d 5x5 32
• Conv2d 5x5 64
• Conv2d 3x3 128
• Conv2d 3x3 256
• Dense 256x2x2
• Dense 1024
• Softmax 104 = n_classes

HyperParameters

• Learning Rate = 0.003
• Momentum = 0.9