Theano

Theano is a python based AI framework capable of delivering peak precision for networks that need high computational power. The initial release of this framework was made on 2007. It is used for manipulating and evaluating mathematical expressions, typically matrix-valued expressions. Expressions in Theano are evaluated faster because of dynamic code generation. It also supports high-level modules like Lasagne.  

Key Features:

  • Updated version: Theano 1.0.5 on 27th of July 2020
  • Execution Speed: It can use GPUs and execute fragments of expressions in GPU or CPU, which is faster than Python.
  • Impeccable Accuracy Ratio:  It is known for its accuracy and provides a great accuracy ratio regardless of how minimal the values are, which makes it highly preferable.

To know more about this amazing AI framework click here.

Top 10 Artificial Intelligence Frameworks to Learn in 2024

Artificial Intelligence (AI) plays a crucial role in today’s digital world, and it’s expected to reach a market value of $190.61 billion by 2025. People from all walks of life, including digital enthusiasts and the average person, are contributing to this transformation.

Easy-to-use tools like Python, AI models, and the best AI frameworks make it accessible for more people to join in, creating a collaborative effort to shape the global digital landscape. As per the survey, the global AI market is expected to reach $190.61 billion by the year 2025.

Top artificial intelligence frameworks speed up the creation of AI applications, covering various areas like deep learning, machine learning, NLP solutions, and neural networks. As AI becomes more common, dealing with large sets of data, known as “big data,” becomes a challenge for organizations. This is why many technologies today require a reliable artificial intelligence framework to effectively handle and make sense of such data.

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Top 10 AI Frameworks for 2024

Here are the top 10 Artificial Intelligence Framework to Explore in 2024:...

1. TensorFlow

Minimal research on AI frameworks is almost assured to lead you to TensorFlow. It is an open source platform which was developed by the team of Google Brain for internal Google use in production and research. The primary version was released in 2015 under the Apache License 2.0. It can be used within an array of programming languages, particularly Python, JavaScript, C++, and Java as well....

2. PyTorch

PyTorch is one of the most opted open source frameworks as it is super-adaptable in terms of integrations and languages. It was developed by Facebook’s AI Research lab and was released in January 2016 as an open-source library chiefly used in deep learning, computer vision, and natural language processing software. Another notable feature of Pytorch is its great affinity with iOS as well as Android....

3. Theano

Theano is a python based AI framework capable of delivering peak precision for networks that need high computational power. The initial release of this framework was made on 2007. It is used for manipulating and evaluating mathematical expressions, typically matrix-valued expressions. Expressions in Theano are evaluated faster because of dynamic code generation. It also supports high-level modules like Lasagne....

4. Microsoft CNTK

Microsoft Cognitive Toolkit is a versatile framework supporting voice remodeling, message, and text. The initial release of this framework was made on 25 Jan 2016. This framework provides an efficient expression of low leveled and high leveled networks and its resources assure high efficiency due to optimum utilization. Microsoft CNTK is Python and C++ compatible and hence can work with various servers at a time, shortening the span of the entire process....

5. Scikit-learn

Scikit-learn offers an array of supervised and unsupervised algorithms and is based on Python. Through SciKit, the veracity of supervised models on unseen data can be checked. Also, particular features from images and text can be extracted using this framework....

6. Apache Mahout

Apache Mahout aims at the development of scalable frameworks and is one of the most preferred open-source networks. It allows applications to analyze large data volumes in a relatively short period. It also enables evolutionary programming as Mahout comes with distributed function capabilities. It is developed in Java and Scala....

7. Amazon Machine Learning

Amazon Machine Learning is a new player in the AI sphere but is quickly becoming famous due to its apt features. It was initially released on 29 November 2017. The fundamental operations of this framework consist of data analysis, model training, and evaluation. Amazon Machine Learning is very beginner-friendly as it has customized tools for every experience level. Hence it’s a preferable option for developers of all skill levels....

8. PaddlePaddle

PaddlePaddle, also known as Paddle, is a rising AI framework made by Baidu. It’s gaining popularity for being versatile and having many useful tools, making it suitable for both research and practical applications. PaddlePaddle comes with a variety of pre-made models and tools for tasks like understanding language and processing images....

9. Jax

Jax is a new framework getting attention for being flexible and great for high-performance number work. Created by Google Research, it’s especially good for scientific tasks, machine learning research, and trying out neural networks. Though it takes a bit to learn, people like Jax because it can be both flexible and fast. It works well with Python, which makes it a good choice for developers who know Python....

10. Caffe

‘Caffe‘ is a deep learning framework designed with a focus on clarity, speed, and scalability. It’s developed by the Berkeley Vision and Learning Center (BVLC) with contributions from the community. Google’s DeepDream uses the Caffe Framework....

Conclusion

In the rapidly evolving landscape of AI frameworks, 2024 witnesses a surge in accessible tools, best AI frameworks, and AI models, emphasizing Python’s pivotal role. From TensorFlow’s computational might to the versatility of PaddlePaddle and the flexibility of Jax, developers are empowered with opensource solutions....

Top Artificial Intelligence Frameworks in 2024 – FAQs

What is an AI framework?...