Deep Learning Library Framework

Deep Learning Library Framework#

(1) Keras

Keras is an effective high-level neural network Application Programming Interface (API) written in Python. This open-source neural network library is designed to provide fast experimentation with deep neural networks, and it can run on top of CNTK, TensorFlow, and Theano.
Keras focuses on being modular, user-friendly, and extensible. It doesn’t handle low-level computations; instead, it hands them off to another library called the Backend.
Keras was adopted and integrated into TensorFlow in mid-2017. Users can access it via the tf.keras module. However, the Keras library can still operate separately and independently.

(2) Pytorch

Pytorch is a relatively new deep learning framework based on Lua Torch.
Developed by Facebook’s AI research group and open-sourced on GitHub in 2017, it’s used for natural language processing applications.
Pytorch has a reputation for simplicity, ease of use, flexibility, efficient memory usage, and dynamic computational graphs. It also feels native, making coding more manageable and increasing processing speed.
Strong competitor to Tensorflow

(3) Tensorflow

TensorFlow is an end-to-end open-source deep learning framework developed by Google and released in 2015.
It is known for documentation and training support, scalable production and deployment options, multiple abstraction levels, and support for different platforms, such as Android.
TensorFlow is a symbolic math library used for neural networks and is best suited for dataflow programming across a range of tasks. It offers multiple abstraction levels for building and training models.

(4) Theano

Theano used to be one of the more popular deep learning libraries, an open-source project that lets programmers define, evaluate, and optimize mathematical expressions, including multi-dimensional arrays and matrix-valued expressions.
Theano was developed by the Universite de Montreal in 2007 and is a key foundational library used for deep learning in Python. It’s considered the grandfather of deep learning frameworks and has fallen out of favor by most researchers outside academia.

Keras is the easiest Deep Learning Library API. It is easy to transit from Machine Learning based model
Tensorflow is the most popular DL library developed by Google. It has the most number of user.
Pytorch is developed by Facebook and gaining significant attention from users all over the world