Machine learning (ML) and Deep Learning (DL) have very similar functionalities. But, DL is slightly different since it possesses more connections and neural networks. However, the top Python-based frameworks offer both ML and DL solutions.
Let us look at some of the top Python software development frameworks for machine learning and deep learning with which developers build advanced AI solutions.
Top Python Frameworks For ML And DL
While there are many languages to choose from, Python is the most developer-friendly machine learning programming language. It comes with the support of a big set of frameworks catering to your project needs.
- TensorFlow
- Keras
- PyTorch
- Scikit-Learn
- Theano
- MXNet
- Sonnet
- Spark ML
- NLTK
As we can see, while most of the frameworks have very similar functions, they perform various operations. Ultimately, whether the development company chooses to use ML, DL, or both for their project depends on its complexity and its requirements.
You can hire Python developer team of Narola Infotech since it is well-versed in the language and has worked on similar projects.
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