• POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    4.8 out of 6071 learners
    2x industry demand
  • PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    4.8 out of 5 by 469 learners
    4x
  • CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    4.8 out of 5 by 621 learners
    4x industry demand
  • POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    4.8 out of 5 by 3278 learners
    14 X industry demand

Deep Learning helps machine learn by example via modern architectures like Neural Networks. A deep algorithm processes the input data using multiple linear or non-linear transformations before generating the output.
As the concept and applications of Deep Learning are becoming popular, many frameworks have been designed to facilitate the modeling process. Students going for Deep Learning, Machine Learning course in India often face the challenge of choosing a suitable framework.
Machine Learning Course
Following list aims to help students understand the available frameworks in-order to make an informed choice about, which Deep Learning course they want to take.

1.    TensorFlow 
TensorFlow by Google is considered to be the best Deep Learning framework, especially for beginners. TensorFlow offers a flexible architecture that enabled many tech giants to embrace it on a scale; for example Airbus, Twitter, IBM, etc. It supports Python, C++, and R to create models and libraries. A Tensor Board is used for visualization of network modeling and performance. While for rapid development and deployment of new algorithms, Google offers TensorFlow which retains the same server architecture and APIs.
2.    Caffe 
Supported with interfaces like C, C++, Python, MATLAB, in addition to the Command Line Interface, Caffe is famous for its speed. The biggest perk of Caffe comes with its C++ libraries that allow access to the ‘Caffe Model Zoo’, a repository containing pre-trained and ready to use networks of almost every kind. Companies like Facebook and Pinterest use Caffe for maximum performance. Caffe is very efficient when it comes to computer vision and image processing, but it is not an attractive choice for sequence modeling and Recurrent Neural Networks (RNN).
3.    The Microsoft Cognitive Toolkit/CNTK
Microsoft offers Cognitive Toolkit (CNTK) an open source Deep Learning framework for creating and training Deep Learning models. CNTK specializes in creating efficient RNN and Convoluted Neural Networks (CNN) alongside image, speech, and text-based data training. It is also supported by interfaces like Python, C++ and the Command Line Interface just like Caffe. However, CNTK’s capability on mobile is limited due to lack of support on ARM architecture.
4.    Torch/PyTorch
Facebook, Twitter and Google etc have actively adopted a Lua based Deep Learning framework PyTorch. PyTorch employs CUDA along with C/C++ libraries for processing. The entire deep modeling process is simpler and transparent given PyTorch framework's architectural style and its support for Python.
5.    MXNet
MXNet is a Deep Learning framework supported by Python, R, C++, Julia, and Scala. This allows users to train their Deep Learning models with a variety of common Machine Learning languages. Along with RNN and CNN, it also supports Long Short-Term Memory (LTSM) networks. MXNet is a scalable framework making it valuable to enterprises like Amazon, which uses MXNet as its reference library for Deep Learning.
6.    Chainer
Designed on “The define by run” strategy Chainer is a very powerful and dynamic Python based Deep Learning framework in use today. Supporting both CUDA and multi GPU computation, Chainer is used primarily for sentiment analysis speech recognition etc. using RNN and CNN.
7.    Keras
Keras is a minimalist neural network library, which is lightweight and very easy to use while stocking multiple layers to build Deep Learning models. Keras was designed for quick experimentation of models to be run on TensorFlow or Theano. It is primarily used for classification, tagging, text generation and summarization, speech recognition, etc.
8.    Deeplearning4j
Developed in Java and Scala, Deeplearning4j provides parallel training, micro-service architecture adaption, along with distributed CPUs and GPUs. It uses map reduce to train the network like CNN, RNN, Recursive Neural Tensor Network (RNTN) and LTSM.
There are many Deep Learning, Machine Learning courses in India offering training on a variety of frameworks. For beginners, a Python-based framework like TensorFlow or Chainer would be more appropriate. For seasoned programmers, Java and C++ based frameworks would provide better choices for micro-management.

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • Finance
    POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    Course duration(Months)
    24
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 6071 learners
    2x industry demand
    Upcoming Batches
    Date Location Schedule
    Live Instructor - Led Training Online
    Date Location Schedule
  • Analytics
    PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    Course duration()
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 469 learners
    4x
    Upcoming Batches
    Date Location Schedule
    21st November ONLINE Online
    Date Location Schedule
  • Placement Assistance
    CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    Course duration(Months)
    8
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 621 learners
    4x industry demand
    Upcoming Batches
    Date Location Schedule
    23rd October ONLINE Online
    Date Location Schedule
  • Post Graduation
    POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    Course duration(Months)
    5
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 3278 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    30th October CHENNAI Weekend
    Date Location Schedule