What is a Deep Learning Framework?
A deep learning framework is a software library or tool that includes a set of APIs (Application Programming Interfaces), abstractions, and tools to assist developers in building and training deep learning models. Deep learning frameworks could help you upload data and train a deep learning model that would lead to accurate and intuitive predictive analysis. These frameworks simplify the process of creating and deploying neural networks, allowing researchers and engineers to focus on complicated machine-learning tasks.
7 Best Deep Learning Frameworks You Should Know in 2024
As we are now moving at this speed in technology, we’re becoming more adaptive toward it. In recent years, there has been a lot of noise about Deep Learning, especially in the field of technology (to be specific, data science), and it’s been widely used today in various industries. The Deep Learning Market is expected to be around US$ 25.50 Billion by 2025
Deep Learning, Machine Learning has become one of the most significant weapons in technology today including self-driving cars, automated tasks, AI-based voice-overs, and whatnot, it is widely operating in almost every domain to make work-life balance simpler and more advanced. Why this has become an urge of this technology and most demanding in every corner of the world? To help you with that, we’re here with this article to discuss the anomaly of deep learning and the frameworks that are being widely used today.