Look at MATLAB:

https://au.mathworks.com/products/deep-learning.html?requestedDomain=

https://au.mathworks.com/videos/get-started-with-deep-learning-using-matlab-1564487611332.html?requestedDomain=

Thanks for your suggestion

I work on matlab thats work properly with image processing field So, as your exprience is betted than Python?

Python is much better than MATLAB as it has good performance and many libraries for image processing and machine learning.

https://towardsdatascience.com/best-python-libraries-for-machine-learning-and-deep-learning-b0bd40c7e8c

Python is strong candidate in this field but if you want speedy work without programming or if you dont have a good programming Language knowledge than go for MATLAB or OCTAVE softwares.

Python and MATLAB are the best options available.

MATLAB: Fastest and easiest among all options, but you need to buy it and also limited in general programming features

Python: Python is free but is more complicated and time-consuming than MATLAB.

R: It is also a free and open-source tool you can use.

Thanks all for your suggestion

Try with python with google tools. Its is free of cost. Very good for beginner.

All language is better than each other. Then it depends on you which language you known and comfortable. If you are convenient in Python language you do.

All languages are pretty good for deep learning as long as the underlying concepts of techniques are understood. It however depends on which language is one comfortable with. A lot of ready made codes seem available online for python users and a lot of libraries are there. Using those ready made codes may prevent one from having the real knowledge if care is not taken.

Python Keras is so good.

you can have a look on this code ( deep learning with python).

Code Python code Deep Stacked Varitional Neural Network

Python is the best language to implement deep learning techniques

Currently, pytorch (supported by facebook) and tensorflow (supported by google) are the most popular deep learning frameworks. Both of them are based on python. Pytorch are more popular among reserachers and tensorflow are more popular among industrial people.

Python: highly recommended, the best in the field, mostly founded in the internet,

Matlab: easy and simple

R: mostly for statistics and data analysis, than DL

I use Python because there is so much support from volunteers online. Few people understand Matlab.

If you're aiming at Deep Learning, the answer is definitely Python. Because the very powerful Tensorflow (Keras) and Pytorch. And most of the open source deep learning code online is written with Python, which means you have an easy access to interesting and helpful programs in this field writen with Python. And if you take a look at the online open courses about deep learning offered by a lot of famouse universities, you will find most of them are using Python.

It depends on your own expertise in language. Python is more flexible and rich.

Python is best one..matlab can be helped you out ..but it completely depend on your research work..

The Python ecosystem is growing and may become the dominant platform for machine learning. The primary rationale for adopting Python for ML & DL is because it is a general purpose interpreted and complete language and platform (unlike Matlab or R ). This means that you can use the same code for research and development to figure out what model to run as you can in production. thus, The cost and maintenance efficiencies and benefits of this fact cannot be understated. further, there are also a lot of modules and libraries to choose from what you want to be suit your task, providing multiple ways to do each task.

If you are a beginner then have a look at MATLAB. It has a lot of examples but you must learn python for your research work because it has vast libraries that you may need to complete your work.

Start with Python as the base programming language and Keras, Tensorflow as deep learning frameworks. You can easily move to Pythorch or MxNet or any other DL frameworks if you are not comfortable with Keras.

Matlab 2019b. It’s very convenient, and the help files are instructive.

For the beginning and understand, Matlab is very convenient but furthermore, for projects and industrial applications Python, Tensorflow are more suitable.

https://towardsdatascience.com/best-python-libraries-for-machine-learning-and-deep-learning-b0bd40c7e8c

python is more common

Dear Ridwan, in general python is a good choice for simplicity and versatility, in addition to having a large number of libraries to work with deep learning

I would definitely recommend the Python Scikit module for ML. It gives access to many models including others that are not just ML.

Hello,

if you like coding, i advice PHYTON.. otherwise you can look WEKA which is easy to use without coding.

I think the most challenging task in machine learning and deep learning is the task of preprocessing your Dataset.

so before even thinking about the way of applying your model of interest, you should be worried about the data, but don't be worry! because python a lot of package in order to assist you in that manner. python has a lot of great and useful packages that can give you a hand of help.

so in my openion it is more than an applying a model, and you should look at this task in that way too!

Python and/or R. I prefer R for preprocessing/analysis but I increasingly see the appeal of performing the modelling in Python and the field seems to be moving in that direction. MATLAB also seems interesting, but it's hard to beat free.

Keras framework which is written in Python. It's easy to learn and easy to use.

I would say Python in first place and Matlab in the second place

Python. They have well defined libraries.

I would suggest Python for 80% usage cases and 20% for R language. Feature specific.

If you like OOP languages go for python.

As most of the online source has solutions in python.

And if you like functional languages like C, go for R lang.

Though are have small resource compare to python but everyone should give it a try. At least once. Ridwan Marqas

Python is best.

I would suggest Python in the first place and Matlab in the second place

Python is the most convenient language for working with Deep Learning.

Paython and Matlab

Python and some framework (TensorFlow or PyTorch)

I agree with the other answers that Python is the most convenient approach for general applications and tutorials. However, for a more practical "what´s best" answer you'd always need to consider the concrete use case. If you know what you would like to do you may look for a framework providing possible solutions/libs for that specific application. When you've found a framework capable of dealing with your topic, most likely there is already some code available you could start to work with. So, my advice: Stay flexible in terms of languages and frameworks and make sure to fully understand the demands of your problem at first.

From my experience, it is python because it has a bunch of libraries to make life easier.

Python is awesome for this purpose because use a simple syntax and readability and basically allows to run complex algorithms easily.

By the way R also is a good tool. But sometimes the code is not simple.

Python is the easiest language to work with Deep Learning.

python language