Top Deep Learning Frameworks

AI integration with the deep learning framework can transform the business completely and without the combination of two, the data scientists will not be able to deliver the quality in their deep learning algorithms. Since every business is looking out for ways to increase their operations, it has become vital for them to combine both machine learning and predictive analytics. Deep learning frameworks are constituent of training, validating deep neural networks and designing and can vastly help in creating deep learning algorithms much easily. 

The deep learning framework you choose is based on what you want to achieve since every framework is made in a different way for different purposes. There are a lot of them available in the market which is used globally such as, TensorFlow, Caffe2, Cognitive toolkit, PyTorch, MXNet and many more. We have explained the best out of them to get you started: 

List of best deep learning frameworks:

TensorFlow
Undoubtedly, the TensorFlow is one of the best deep learning frameworks out there. It is an open source software library which was developed by the Google Brain Team. 

Tensorflow is a Python-based library, used by several big companies such as Twitter, Airbus, IBM, and others. It supports several languages such as C++, Python, and R and is available on your desktop as well as mobile. 

 

Also Read: Why Keras Deep Learning Is So Popular And Implmentation Using Tensorflow

If you have recently started with deep learning, TensorFlow can become your best framework. There are a lot of documentation and videos available on the internet that can guide all the beginners. 

Caffe
It is a deep learning library developed by Berkeley Vision and Learning Center (BVLC). It is supported with C++, C, Python, and MATLAB, having applications in conventional neural networks. It is quite popular because of its fast speed and responsibility than others, with a single Nvidia K40 GPU, it can process over 60 million images. A lot of pre-trained networks come with this library which is again its plus point. 

Torch
The torch is a Lua-based scientific deep learning framework which is developed by Twitter, Google, and Facebook. It provides wide support for machine learning algorithms and uses C/C++ libraries along with CUDA for processing. The torch was developed by big companies to scale the production and to achieve maximum flexibility. 

Recently, Python's implementation of the torch, also known as Pytorch has become quite popular and is giving a good competition to the TensorFlow. It is used for constructing deep neural networks and performing tensor computations.

Also Read: How To Improve Cloud ERP With AI And Machine Learning

Deeplearning4j
DeepLearning4j is a popular deep learning framework that is developed in Java as well as Scala and is supported by other JVM languages as well. DeepLearning4j is implemented on the top of Big data tools like Apache Spark and Apache Hadoop. It is mainly used for commercial and industry-focused and distributed deep learning platform. 

Choosing the right deep learning framework for your business depends on a number of factors. Hope this blog makes it easier for you. For more such updates, visit Oodles Technologies.