Författare: Liu Yuxi (Hayden) Liu

5 real-world projects to help you master deep learning concepts Key Features

• Master the different deep learning paradigms and build real-world projects related to text generation, sentiment …

Concepts, tools, and techniques to explore deep learning architectures and methodologies Key Features

• Explore advanced deep learning architectures using various datasets and frameworks
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Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as Tensor Flow and scikit-learn Key Features Exploit the power of Python t …

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the fundamentals of deep learning and neural networks Use R 3.5 and …

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key Features

• Use Py Torch 1.x to design and build self-learning artificial intelli …

A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques K …

Machine Learning with Py Torch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with Py Torch. It acts as both a step-by-step tutorial and a reference you’ll keep comin …

Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesi …