Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be your best option among the ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models When I reviewed MXNet v0.7 in 2016, I felt that it was a promising ...

Parting thoughts Deep learning is an exciting and fast-changing field with new methods emerging regularly. It might seem like a daunting task for social scientists to adopt these new tools. However, ...