Fast Learning Methods
Download Fast Learning Methods PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Fast Learning Methods book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Automation and Utopia
Author: John Danaher
language: en
Publisher: Harvard University Press
Release Date: 2019-09-24
Automating technologies threaten to usher in a workless future. But this can be a good thing—if we play our cards right. Human obsolescence is imminent. The factories of the future will be dark, staffed by armies of tireless robots. The hospitals of the future will have fewer doctors, depending instead on cloud-based AI to diagnose patients and recommend treatments. The homes of the future will anticipate our wants and needs and provide all the entertainment, food, and distraction we could ever desire. To many, this is a depressing prognosis, an image of civilization replaced by its machines. But what if an automated future is something to be welcomed rather than feared? Work is a source of misery and oppression for most people, so shouldn’t we do what we can to hasten its demise? Automation and Utopia makes the case for a world in which, free from need or want, we can spend our time inventing and playing games and exploring virtual realities that are more deeply engaging and absorbing than any we have experienced before, allowing us to achieve idealized forms of human flourishing. The idea that we should “give up” and retreat to the virtual may seem shocking, even distasteful. But John Danaher urges us to embrace the possibilities of this new existence. The rise of automating technologies presents a utopian moment for humankind, providing both the motive and the means to build a better future.
Fast learning methods
Everyone wants to be better at the things they do, but no one can figure out what is required to become good at something. The way to glory is to learn better. That does sound very simple and almost ordinary, but it is what makes ordinary people extraordinary. The only difference between successful people and unsuccessful people is that they both have different learning methods. They both are provided with the same resources, yet the people who can learn faster win in the race of life or just acquiring a new skill set. Just by following some simple principles of learning, anyone can become a real professional and master in anything they are trying to do. There are some very easy tricks and methods that can be used for learning anything faster and in a manner which is better than others. The only thing required to learn faster is the will to do it in the first place.
Deep Learning for Coders with fastai and PyTorch
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala