Auteur: Shanmugamani Rajalingappaa Shanmugamani

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and …

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features

• Build efficient deep learning pipelines using the popular Tensorflow frame …

Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years. …

Foster your NLP applications with the help of deep learning, NLTK, and Tensor Flow Key Features

• Weave neural networks into linguistic applications across various platforms
• Perfor …

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key Features Master supervised, unsupervised, and semi-supervised ML algorithms an …

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key Features Your entry point into the world of artificial intelligence using the p …