ANNs
The AI Lab group continues to grow and more and more cutting-edge areas of Artificial Intelligence and Machine Learning are being researched and worked on. In this meetup, the AI Lab teams discussed :- Semantic Image Segmentation with the U-Net architecture U-Nets are one kind of Encoder-Decoder Architecture to solve Semantic Image Segmentation. This architecture […]
Artificial Intelligence and Machine Learning are particularly useful for complex applications like Image Recognition, such as distinguishing a puppy face from a muffin ! Advanced Machine Learning algorithms, which fall under Deep Learning category, include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative-Adversarial Networks (GANs) etc. The CNNs are extremely potent solutions for image […]
Recurrent Neural Networks or RNNs are a type of deep neural networks which help in sequence modeling. They are very useful for processing data that is sequential in nature, such as spoken language, stock prices or weather patterns. One can use RNNs to build applications in natural language processing (such as sentiment analysis), language translation […]