The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
During National Learning and Development Month in October, we celebrate the growth of students and the educators who help with their success. Here is a collection of titles with books that inform on different techniques for learning that can help students to grow to their fullest potential.
For National Depression Education and Awareness Month in October, we are sharing a collection of titles that educates and informs on depression, including personal stories from those who have experienced depression and topics that range from causes and symptoms of depression to how to develop coping mechanisms to battle depression.
For Health Literacy Month in October, we are sharing a list of titles that focus on education about health information and making information about personal and public health easier to understand.
For Emotional Wellness Month in October, we are sharing a collection of titles that includes books that can help students with prioritizing emotional health and aid with stress management. The collection also gives insight on the psychology of emotional health and wellness from an academic perspective. Find the full collection of titles here.
For LGBTQIA+ History Month in October, we’re celebrating the shared history of individuals within the community and the importance of the activists who have fought for their rights and the rights of others. We acknowledge the varying and diverse experiences within the LGBTQIA+ community that have shaped history and have led the way for those
Penguin Random House Education is proud to celebrate Latinx & Hispanic Heritage Month, which runs annually from September 15th through October 15th. We are highlighting the works of our authors and illustrators from the Latinx and Hispanic community, whose stories and characters have a profound impact on our society. Here is a collection of titles
