What is the Best Neural Network Library for Python

        There are various libraries based on neural network for python but keras is considered as the best neural network library for python due to its specifications. Through this article, our technical experts have highlighted the significance of neural network libraries in python.

• Keras
• It is created to enhance the neural network for machine learning models and it is capable to run on the top of Theano and TensorFlow to train neural networks
• Pyrenn
• It is the frequent neural network toolbox for the python and Matlab
• Lasagne
• It is the lightweight library to create and train the neural networks in Theano
• Scikit-Neural network
• It is used to execute the recurrent neural networks, auto encoders and multi-layer perceptron
• Ffnet
• It is denoted as the fast and easy process that is deployed in the training process
• NeuroLab
• It includes the neural networks, flexible framework and train algorithms for the exploration and creation of various networks
• PyTorch
• It offers the deep neural networks built on a tape based auto grad system and two high level features
• TensorFlow
• It is the open source software library for the numerical computation using data flow graphs

      In addition, we have highlighted the process of creating the neural network in python using the following steps.

• Import the libraries
• Define and create input data
• Adding weights and bias
• Training the network
• Testing the Network
• Fit the model

      As an actual fact, the research scholars can reach us at any time and our technical experts are providing the pertinent guidance.