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Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data.Key FeaturesBuild state-of-the-art algorithms that can solve your …
Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworksKey …
Implement neural network architectures by building them from scratch for multiple real-world applications.Key FeaturesFrom scratch, build multiple neural network architectures such …
A practical guide designed to get you from basics to current state of art in computer vision systems.About This BookMaster the different tasks associated with Computer Vision and …
Fun and exciting projects to learn what artificial minds can createKey FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside …
Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with …
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, …
Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and …
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with …
Leverage the power of Apple's Core ML to create smart iOS appsAbout This BookExplore the concepts of machine learning and Apple's Core ML APIsUse Core ML to understand and …