In this tutorial, we'll learn Top 5 Deep Learning Frameworks to Watch in 2021 and Why TensorFlow Should be Your Choice.
The field of deep learning is very exciting. From reinforcement learning applications to image classification and sound generation, there is a wild amount of application areas. While we work on these exciting projects, we often want to “outsource” the tedious work such as writing to model algorithms to deep learning frameworks.
There are several deep learning frameworks designed & backed by big tech, universities, and researchers. But, maintaining a deep learning framework is not an easy task. There are many deprecated deep learning frameworks even though they are backed by big tech firms like Microsoft. Therefore, finding a deep learning framework that is still in active development is crucial for the future of your project. In this post, we will learn about the most up-to-date deep learning frameworks in 2021 and understand why you should choose TensorFlow.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
This article will simply explain the concept which will help you understand the difference between Machine Learning and Deep Learning.
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
We are a Machine Learning Services provider offering custom AI solutions, Machine Learning as a service & deep learning solutions. Hire Machine Learning experts & build AI Chatbots, Neural networks, etc. 16+ yrs & 2500+ clients.
Best Free Resources to Learn Programming, Software Engineering, Machine Learning, And More All you need to learn. Do you know that you can take the courses from MIT, Stanford.