- 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 withseq2seq - Lab8:
GAN- pokemon creation