Deep Learning

Deep learning, inspired by the human brain, revolutionizes machine learning and is essential for data-driven businesses.

Deep Learning
Deep Learning

Frameworks and platforms

Deep learning frameworks are crucial for AI model development, using complex math to mimic brain neuron functions.


OS: Windows, Linux, macOS
Groups like Microsoft and Airbus use DeepDetect, an open-source deep learning server which offers sensible API for image classification, object detection, and numerical and textual data analysis. DeepDetect is based on Caffe, XGBBoost, and TensorFlow.

Microsoft Cognitive Toolkit

OS: Windows, Linux
The Microsoft Cognitive Toolkit, previously named CNTK, offers the opportunity to train algorithms to think like real human brains. It’s used by Microsoft to power the AI features they offer in Cortana, Bing, and Skype. The Microsoft Cognitive Toolkit offers scalability, commercial-grade quality, and speed, and is compatible with Python and C++.


OS: Windows, Linux, macOS
CaffeOnSpark was a Yahoo project which brings the well-known deep learning framework of Caffe to Spark and Hadoop clusters. It has since come to be used for image search, content classification, and a range of other cases.


OS: Windows, Linux, macOS
The Deep Scalable Sparse Tensor Network Engine, or DSSTNE, is the software library of choice for Amazon. The e-commerce giant uses DSSTNE to train and run its recommendation engine. Core features of DSSTNE include its large layers, multi-GPU scale, and good operation with sparse datasets.


OS: Windows, Linux, macOS Deeplearning4j describes itself as “the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala”. It also offers commercial support through Skymind.


OS: Windows, Linux, macOS
Theano puts itself out there as “a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently”. Theano is useful for deep learning operations and includes GPU support, NumPy integration, dynamic C code generation, and good symbolic differentiation.


OS: Windows, Linux, macOS
A UC Berkeley PhD student was the original creator or Caffe, which has since become a popular framework. It is well-known for its expressive architecture, extensible code, and speed.


OS: Linux
ConvNetJS is a JavaScript library which makes it easy for developers to train deep learning models from browsers. It offers a no-sweat approach to training, promising “no software requirements, no compilers, no installations, no GPUs”.


OS: Windows, Linux, macOS
H2O has more than 100,000 users and describes itself as “the world’s leading open source deep learning platform”. There is an open-source version and a premium edition of the platform which offers paid support.

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