Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5

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Bring magic to your mobile apps using TensorFlow Lite and Core ML

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Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity

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Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

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Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

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Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.

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Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.