Best Deep Learning Software
Deep learning is a form of unsupervised machine learning that uses artificial neural networks to make decisions based on presented data and information. Deep learning neural networks make decisions in the same way a human brain does. The difference between deep learning and machine learning is that deep learning algorithms contain deep neural networks, which are many hidden layers of neural networks between data input and a solution output. These decision-making algorithms require large amounts of data and information to make choices. With the rise of accessible data, deep learning algorithms are becoming more prevalent. Deep learning algorithm functions can include image recognition, natural language processing, and voice recognition.
Deep Learning Software Grid® Overview
The best Deep Learning Software products are determined by customer satisfaction (based on user reviews) and scale (based on market share, vendor size, and social impact) and placed into four categories on the Grid®:
- Products in the Leader quadrant are rated highly by G2 Crowd users and have substantial Market Presence scores. Leaders include: Google Cloud Translation API
- High Performers are highly rated by their users, but have not yet achieved the market share and scale of the Leaders. High Performers include: Inbenta and OpenCV
- Contenders have significant Market Presence and resources, but have received below average user Satisfaction ratings or have not yet received a sufficient number of reviews to validate the solution.
- Niche solutions do not have the Market Presence of the Leaders. They may have been rated positively on customer Satisfaction, but have not yet received enough reviews to validate them. Niche products include: IBM SPSS Text Analytics for Surveys (IBM Stafs), Deepdream, and NVivo