Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as …
Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two …
Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from …
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who …
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Link to the GitHub Repository containing the code examples and additional material:https://github.com/rasbt/python-machi...Many of the most innovative breakthroughs and exciting new …
Become an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey FeaturesBuild and implement state-of-the-art …
Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. …
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive …
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This …
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins …
Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book …
Unsupervised learning is an increasingly important branch of data science, the goal of which is to train models that can …
Learn how to redesign NLP applications from scratch. Key Features Get familiar with the basics of any Machine Learning or …
One-stop solution for NLP practitioners, ML developers and data scientists to build effective NLP systems that can perform real-world complicated …
Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations. You’ll start by learning what deep …
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such …
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional …
