A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.

Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algori

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern m

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and take application perfo

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures