ELEN 521 Deep Learning Labs Lab1: Implementation of common activation functions and plots of datasets Lab2: Regression and classification problems with neural network Lab3: Implementation of optimizers: GD, Momentum, Adadelta, Adam, AdamWithWarmup Lab4: Training on CIFAR10 and CIFAR100 in Keras Lab5: Data Augmentation, Transfer Learning, and Visualizion of what the network is learning Lab6: Training on Quantized Neural Networks with QKeras, Neural Style Transfer, and Real-Time Object Detection with YOLO Lab7: NLP - removing bias in embedding, Sentiment Analysis, LSTM, GRU, Text Generatation, Translation with seq2seq Lab8: GAN - pokemon creation
