How Deep I Can Be

How Deep I Can Be
Author: John D Evans
Publisher: iUniverse
Total Pages: 93
Release: 2004-12
Genre:
ISBN: 0595335179

To rise out of nothingness for the world to see To speak from my heart, a mind flowing free To release from my soul, my poetry To be liberated from within is How deep I can be To reveal a misunderstood, hidden part of me To dispel preconceived notions with reality To share my past, present, and sweet destiny To paint a portrait of my life is How deep I can be To write what I hear and then call it poetry is Only one example of How deep I can be In this deeply personal, yet profoundly universal collection, poet John D. Evans captures the life story of a young adult in urban America who was born in obscurity, overcame insecurity, and has lessons and stories to share. With titles like "I Remember When," "The Murder of Madam Roach," and "Reality Check," these thoughtful poems illuminate the "P's" and "D's" of life-Portraits, Power, Party, Dreams, Decisions, and Drama. Brave and unashamed, this ponder-worthy poetic journey will enlighten readers of all ages.

Out of the Deep I Cry

Out of the Deep I Cry
Author: Julia Spencer-Fleming
Publisher: Minotaur Books
Total Pages: 420
Release: 2007-04-01
Genre: Fiction
ISBN: 1429909072

Award winning author Julia Spencer-Fleming does it again in this third mystery featuring Rev. Clare Fergusson and Sheriff Russ Van Alstyne in the small town of Millers Kill, N.Y. As the small town's gossip increasingly speculates about the Rev.'s ambigous relationship with the married Sheriff, a more urgent problem is the disappearance of the doctor of Millers Kill's free clinic, a town institution with roots in events from the 20s and 30s. Digging into the roots of these disturbing happenings, Russ and Clare find that painful events from the town's past can still roil the peace of Millers Kill. Out of the Deep I Cry is a 2005 Edgar Award Nominee for Best Novel.

Deep Learning

Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
Total Pages: 801
Release: 2016-11-10
Genre: Computers
ISBN: 0262337371

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.

Stabat Mater

Stabat Mater
Author: Charles Villiers Stanford
Publisher:
Total Pages: 146
Release: 1907
Genre: Cantatas, Sacred
ISBN: