“You either die a hero or you live long enough to see yourself become the villain.”
― The Dark Knight
― The Dark Knight
“Never delay kissing a pretty girl or opening a bottle of whiskey.”
― QUOTABLE HEMINGWAY: An A to Z Glossary of Quotations from Ernest Hemingway
― QUOTABLE HEMINGWAY: An A to Z Glossary of Quotations from Ernest Hemingway
“So much have we lost touch with 'real life' that we occasionally feel a kind of disgust for it and so can't bear to be reminded of it. For we have arrived at the point where we look on 'real life' as toil, almost as compulsory service, and all of us privately agree that 'life' as we find it in book is better.”
― Notes from Underground
― Notes from Underground
“Yann LeCun's strategy provides a good example of a much more general notion: the exploitation of innate knowledge. Convolutional neural networks learn better and faster than other types of neural networks because they do not learn everything. They incorporate, in their very architecture, a strong hypothesis: what I learn in one place can be generalized everywhere else.
The main problem with image recognition is invariance: I have to recognize an object, whatever its position and size, even if it moves to the right or left, farther or closer. It is a challenge, but it is also a very strong constraint: I can expect the very same clues to help me recognize a face anywhere in space. By replicating the same algorithm everywhere, convolutional networks effectively exploit this constraint: they integrate it into their very structure. Innately, prior to any learning, the system already “knows” this key property of the visual world. It does not learn invariance, but assumes it a priori and uses it to reduce the learning space-clever indeed!”
― How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
The main problem with image recognition is invariance: I have to recognize an object, whatever its position and size, even if it moves to the right or left, farther or closer. It is a challenge, but it is also a very strong constraint: I can expect the very same clues to help me recognize a face anywhere in space. By replicating the same algorithm everywhere, convolutional networks effectively exploit this constraint: they integrate it into their very structure. Innately, prior to any learning, the system already “knows” this key property of the visual world. It does not learn invariance, but assumes it a priori and uses it to reduce the learning space-clever indeed!”
― How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
“I lost a great innocence when I understood that I and my mind were not going to be on good terms for the rest of my life. I can’t tell you how tired I am of character-building experiences. But I treasure this part of me; whoever loves me loves me with this in it.”
― An Unquiet Mind: A Memoir of Moods and Madness
― An Unquiet Mind: A Memoir of Moods and Madness
What's the Name of That Book???
— 120791 members
— last activity 3 minutes ago
Can't remember the title of a book you read? Come search our bookshelves and discussion posts. If you don’t find it there, post a description on our U ...more
Goodreads Librarians Group
— 321520 members
— last activity 0 minutes ago
Goodreads Librarians are volunteers who help ensure the accuracy of information about books and authors in the Goodreads' catalog. The Goodreads Libra ...more
نادي أصدقاء نوبل
— 3676 members
— last activity Nov 05, 2020 07:38AM
القراءة هي كالماء والهواء، جزء أساسي من الحياة اليومية للإنسان. ولقد أسسنا سابقاً "صالون الأدب الروسي"، وها نحن الآن نواصل جهودنا في تنشيط مشهد القراء ...more
Ali’s 2025 Year in Books
Take a look at Ali’s Year in Books, including some fun facts about their reading.
More friends…
Polls voted on by Ali
Lists liked by Ali



















































