Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.
Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease
Build neural network models in text, vision and advanced analytics using PyTorch
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Insightful projects to master deep learning and neural network architectures using Python and Keras
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Blend the power of Qt with OpenCV to build cross-platform computer vision applications
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.
Explore TensorFlow's capabilities to perform efficient deep learning on images
Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs
Test your C++ programming skills by solving real-world programming problems covered in the book