However, both the terms are not the same.
Basically, ML has evolved from AI via pattern recognition and computational learning theory.
Tensorflow
TensorFlowis Googles open-source software library built for deep learning or artificial neural networks.
TensorFlow carries out numerical computations using data flow graphs.
Tensorflow can produce C++ or Python graphs, which represent the movement of data running through a system.
Its website offers tutorials and resources, which help the developers who have less knowledge about it.
Google, Intel, Uber, Qualcomm are some of the companies using Tensorflow.
It is open-source and is written in C++, with a Python interface.
Caffe supports many different types of deep learning architectures geared towards image classification and image segmentation.
It supports CNN, RCNN,LSTMand fully connected neural internet designs.
It also works well on GPU, which contributes to its great speed during operations.
Caffe framework is mainly used for academic research projects, multimedia, speech and even vision.
The tool also supports operating systems such as Ubuntu, Mac OS X, and Windows.
recently integrated Caffe with Apache Spark to create CaffeOnSpark, a distributed deep learning framework.
CNTK is highly customizable due to its faster training times and easy to use architecture.
It allows you to choose your own parameters, algorithms, and networks.
Its written in Python and C++.
Theano
Theanois a Python library designed for deep learning.
It can use GPUs and perform efficient symbolic differentiation.
The tool comes with features including integration with NumPy, dynamic C code generation, and symbolic differentiation.
The tool supports platforms such as Linux, Mac OS X, and Windows.
This high-level neural web link API is designed to enable fast experimentation with deep neural networks.
It focuses on being user-friendly, modular, and extensible.
The tool is optimized for both CPU and GPU.
source: www.techworm.net
