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 ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...

Understand the power of word embeddings in deep learning — with detailed Python and RNN integration. #RNN #WordEmbeddings ...

Instagram is built on Python for a reason, after all. "Keras Bootcamp For Deep Learning & AI in Python" goes through Keras, one of the most popular deep learning Python frameworks.

Artificial Intelligence, Computer Science and IT, Machine Learning, Deep Learning, Python Programming, Back propagation, Supervised Learning, Scikit Learn, Unsupervised Learning, Numpy, Decision ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Powered in part by the Python programming language, PyTorch is an open-source deep-learning framework built to be flexible and modular for research. The library allows developers to build, deploy ...

Most deep learning books are based on one of several popular Python libraries such as TensorFlow, PyTorch, or Keras. In contrast, Grokking Deep Learning teaches you deep learning by building ...