Deep Learning is an advanced subset of modern Artificial Intelligence (AI) tools that can teach machines to think, learn, and make decisions like humans. Deep learning works through complex Deep Neural Networks (DNNs) modeled after the human brain to recognize patterns in images, audio, and text to determine meaningful insights and make predictions. Deep learning can be used to automate tasks that typically only humans can perform, such as translations, transcriptions, or accurate descriptions and classification of objects or text.
Deep learning differs from Machine Learning (ML) platforms in that deep learning learns from insights and errors without any human intervention, while ML requires algorithms trained on labeled data and rules to facilitate learning and automation in machines.
Key Use Cases for Deep Learning
AI Voice Assistants: Deep learning analyzes human voices with speech recognition to understand nuances such as tone of voice, language, and accents. Using this analysis, this technology can model human voice patterns, understand intonations, and mirror speech rates to create the lifelike voices used in numerous application interactions, such as Siri or Alexa.
Customer Service Chatbots: Deep learning and AI are used to build and train chatbots that can interact with customers and provide support with human characteristics. Chatbots are trained on vast data sets, can provide information, and even perform tasks to serve customer needs thanks to deep learning.
Computer Vision: With deep learning technology, computers can see, comprehend, and classify objects based on the meaning and insights extracted from images and videos.
Image Recognition: Deep learning algorithms are trained on massive data sets of images and then use this data to recognize and identify similar images. This technology has varying applications, from helping customers find products to helping autonomous vehicles identify signs, objects, or pedestrians on the road.
Cybersecurity & Fraud Prevention: Deep learning has use cases across the cybersecurity industry for monitoring fraud patterns and trends to help defend systems and data against future cyberattacks.
Recommendation Engines: Deep learning recognizes and learns from patterns and has the ability to learn over time, which is why this technology is used in many recommendation engines on websites and streaming platforms to show customers other products they may be interested in purchasing, or suggest shows or movies they may like to watch.
Advanced Analytics & Forecasting: Deep learning continues to improve both prescriptive and predictive analytics for big data, and it is used in advanced predictive analytics tools to help organizations forecast sales patterns, future customer needs, supply chain changes, and more.
Top 10 Deep Learning Software
Top 10 Deep Learning Software sorted by Wheelhouse Score.
NeuralDB Enterprise by ThirdAI is a comprehensive platform designed for generative search and retrieval tasks. The software offers a full-stack solution with a range of features aimed at improving the search experience for users. One of the key features of NeuralDB Enterprise is its focus on data re...
Xyonix is an Artificial Intelligence (AI) and Machine Learning (ML) firm that offers consulting services, data evaluations, and model development plans to help companies in a variety of industries innovate and improve business with AI. Xyonix has decades of AI experience spanning Natural Language Pr...
Neurala's Vision AI software for industrial inspections is a cutting-edge solution designed to revolutionize quality control processes, reduce defects, and increase production rates in various industries. With its advanced technology and innovative features, Neurala's software offers a flexible and ...
Neural Designer is a cutting-edge machine learning platform that specializes in neural networks, allowing users to build sophisticated models that can adapt and learn from data. This capability is particularly useful for organizations seeking to optimize their business processes and make informed de...
NVIDIA is an Artificial Intelligence (AI), Data Center, and Cloud Computing technology company that engineers the most advanced and sophisticated chips, systems, and software to help companies build and scale AI-powered operations. NVIDIA designs and manufactures Graphics Processing Units (GPUs), Ap...
Clarifai is a Large Language Model (LLM), Generative AI, and Computer Vision AI Lifecycle Platform designed for developers and engineering teams to seamlessly create and scale AI models and apps within an organization. Clarifai supports various vision, language, and audio AI models and provides the ...
DataRobot is a generative and predictive AI platform that helps enterprises build, implement, and optimize multi-cloud GenAI technology and Machine Learning (ML) models across the organization. DataRobot experts create personalized AI systems and roadmaps, including new AI deployments and integratio...
Unisys is a multinational technology solutions company that helps organizations modernize their business applications, streamline and secure operations, and access data more efficiently with technology, software, and IT services. For over 150 years, Unisys has been innovating and transforming the bu...
Katonic is a highly scalable, no-code Generative AI platform organizations use to build enterprise-level AI applications. Katonic Generative AI provides accurate results based on a company’s trained data, offering a choice of over 50 Large Language Models (LLM) and enterprise-grade security to...
ChatGPT is an AI chatbot system that uses generative AI and Natural Language Processing (NLP) technologies to answer questions, generate code, create content, perform language translations, and facilitate chats that mimic human conversations. Users simply enter a question, request, or command into t...