By Ifeoma Jane
Artificial Intelligence (AI) cuts across various industries, enabling innovative solutions and driving advancements in technology.
In this article, we will show you AI tools you should maximize in 2024.
Below are the AI tools for AI engineers;
1) PyTorch
ThisAI tool which is backed by Facebook’s AI Research team, is a popular open-source deep learning framework. Known for its simplicity and flexibility.
PyTorch offers a dynamic computational graph, making it easier to debug and experiment with models.
It provides excellent support for tasks like natural language processing, computer vision, and reinforcement learning.
2) TensorFlow
This is an AI tool which is developed by Google. It is a widely used open-source framework for machine learning and deep learning. Its flexible architecture allows AI engineers to build and deploy a variety of AI models, ranging from simple to complex.
TensorFlow should also be a part of your AI engineering skills because it provides extensive support for neural networks and offers high-performance computations, making it ideal for tasks such as image recognition, natural language processing, and speech recognition.
3) Keras
Keras is a high-level neural networks API written in Python. It offers a user-friendly interface and abstracts the complexities of lower-level frameworks like TensorFlow and Theano. Keras enables a certified AI engineer to build and experiment with deep learning models effortlessly.
With its intuitive design and extensive library of pre-trained models, Keras accelerates the development process and facilitates the rapid prototyping of AI applications.
