Assignments and practicals completed during the Deep Learning course at Eindhoven University of Technology, in collaboration with @MattiaMolon. Implemented in TensorFlow.
Topics tackled:
- Convolutional Neural Networks:
- Transfer learning through VGGNet;
- Metric learning through Siamese Nets and Triplet Networks;
- Autoencoders and Denoising autoencoders;
- Recurrent Neural Networks:
- Long-Term Short Memory (LSTM) and Attention;
- Caption generation for images;
- Sentiment classification;
- Generative Models:
- Variational Autoencoder (VAE) for Anomaly Detection.