About Deep Learning

Traditional machine learning uses handwritten feature extraction and modality-specific machine learning algorithms to label images or recognize voices. However, this method has several drawbacks in both time-to-solution and accuracy.

Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to change this dynamic. Machines are now able to learn at a speed, accuracy, and scale that are driving true artificial intelligence and AI Computing.

Deep learning is used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition, and natural language processing.

CompecTA Deep Learning Solutions are used and trusted by many researchers and developers as the key to succes in deep learning breakthroughs.