There are few joys in life quite like gathering friends and family around the table for a special meal. One of the best parts of making good food is being able to share it with others. With a little bit of thoughtful planning, it can be effortless to entertain your guests and host an incredible meal. However, the true art of paleo entertaining is creating a delicious and satisfying menu that will also promote good health. In Gather, the Art of Paleo Entertaining, Hayley and Bill show you how to orchestrate the perfect dinner party—whether you are planning an elegant holiday feast or hosting a casual brunch with friends. Gather, the Art of Paleo Entertaining includes: 17 elegant menu spreads 100 delicious dishes perfect for any party Over 300 beautiful color photos Tips and tricks to make entertaining fun and effortless Thoughtful ideas on how to prepare dishes while enjoying the party you're hosting Shortcuts and sequencing suggestions to time everything just right With sixteen creative occasions for gathering, the book acts as your guide to planning any type of menu. Each spread lays out the essential ingredients for success: carefully selected dishes, photos of each recipe, shopping lists for the meal, and even tips to streamline your meal preparations. Gather is filled with recipes of all types and a wealth of vibrant photos to inspire you long after your last bite. Regardless of your skill level in the kitchen, Gather brings all of the planning elements together to make entertaining fun, relaxing, and most importantly: delicious!

A one-volume reference work designed to aid worship planners in the selection of contemporary song. Organized by the three- year lectionary cycle, this book also contains integrated scriptural, seasonal, and topical indexes. Song collections indexed include With One Voice; This Far by Faith; Worship & Praise; The Celebration Hymnal; Gather Comprehensive; Glory & Praise; Maranatha! Music Praise; Renew!; Spirit Calls, Rejoice!; and Worship Songs of the Vineyard.

Every Sunday, thousands of Christians lift their voices in song and their spirits in worship using the acclaimed Chalice Hymnal-join them and sing from a brilliant blend of 620 easy-to-sing traditional and contemporary hymns.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.