milanilic332/keras-tensorflow

Building deep neural networks using keras and tensorflow for various problems.

Keras-Tensorflow

Building deep neural networks using keras and tensorflow for various problems.

• ASL:

  • Image classification of sign language letters, dataset from https://www.kaggle.com/grassknoted/asl-alphabet.
  • Train data - 2500 images for every class.
  • Validation data - 500 images for every class.
  • Used image augmentation and got around 97% accuracy with my cnn.
  • With InceptionResNetV2() got 99.5%.

• IMDb faces:

  • Image classification of actors and actresses based on gender. Around 94% accuracy.

• Rnn:

  • LSTM network for generating new C code.
  • Used limited number of C files from linux-kernel.
  • After 50 epochs loss came down to 0.73.

• neural_style_transfer:

  • Algorithm for generating image in style of another image.