From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu
This article covers
• Defining and introducing the fundamental concepts of machine learning
• Describing the motivation for and high-level concepts of automated machine learning
In this video, we join deep learning advocate Mark Ryan on his tour into training the model and running experiments.
From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
From Deep Learning with JavaScript by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen with Francois Chollet
From Deep Learning with Python by François Chollet
In this article, we’ll learn about deep learning models that can process text (understood as sequences of word or sequences of characters), timeseries, and sequence data in general.
From Deep Learning with Python by François Chollet
This article introduces Keras, a deep learning library for Python that can be used with Theano and TensorFlow to build almost any sort of deep learning model.
From Deep Learning with Python
By François Chollet