Day 19 - Image Segmentation and Object Detection
Day 18 - Natural Language Processing (NLP) with Deep Learning
Day 17 - Deep Reinforcement Learning: Combining Neural Networks and Reinforcement Learning
Day 16 - Reinforcement Learning: Basics and Algorithms
Day 15 - Autoencoders and Variational Autoencoders (VAEs)
Day 14 - Generative Adversarial Networks (GANs)
Day 13 - Transfer Learning and Pretrained Models
Day 12 - Recurrent Neural Networks (RNNs) and LSTMs
Day 11 - Convolutional Neural Networks (CNNs)
Day 10 - Hyperparameter Tuning and Grid Search