DeepLearning_practice

1. NIN on cifar-10 with Keras

• [code][paper]

2. retrained VGG19 on cifar10 with Keras

• [code]

3. BP alogrithm

• [code]
• A Deep Neural Network (DNN) model without toolkit for classification.
• dataset: Street View House Number (SVHN)
• loss: Cross-Entropy
• opt: Stochastic Gradient Descent (SGD)
• reg: N/A, L1, L2

4. DNN with Tensorflow

• [code][4-1] [4-2]
• A Deep Neural Network (DNN) model with tensorflow for classification.
• dataset: MNIST
• reg: L1, L2, Dropout

5. CNN with Tensorflow

• [code][5-1] [5-2]
• A Convolutional Neural Network(CNN) with tensorflow for classification.
• dataset: cifar-10

6. RNN with Tensorflow

• [code][6-1] [6-2]
• A Recurrent Neural Network (RNN) with tensorflow for classification.
• dataset: IMDB

7. Autoencoder with tensorflow

• [code]
• An Autoencoder with tensorflow.
• dataset: MNIST with noise (MNIST-M was artificially created by using each MNIST digit as a binary mask and changing the colors of a background image.)

8. AAE with tensorflow

• [code] [paper]
• An Adversarial Autoencoder (AAE) with tensorflow.
• dataset: MNIST