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 ...

Master important frameworks for deep learning in Python Data Science with "Tensorflow and Keras Masterclass For Machine Learning and AI in Python".

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, ...