At this point ChatGPT seems to be quite good at getting answers to this kind of questions. What it does not provide is a personal assessment like "this book is inspiring" or "it was fun to read".
ChatGPT:
>There isn't a single reference that covers the entire history of neural networks in great detail, but there are a number of good books that you might find helpful. Here are a few that you might want to check out:
>
>"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: This book provides a comprehensive introduction to deep learning, including a historical overview of the field. It covers the key ideas that have driven the development of neural networks from the early days up to the current deep learning era, and provides information on their main contributions and inspirations.
>
>"Neural Networks: A Comprehensive Foundation" by Simon S. Haykin: This book is considered a classic reference in the field of neural networks. It provides a detailed historical overview of the field, starting with the early perceptron models and moving through the development of more sophisticated architectures such as convolutional neural networks and recurrent neural networks.
>
>"The Deep Learning Revolution" by Terrence J. Sejnowski: This book provides a broad overview of the history of neural networks and deep learning, and discusses how these technologies have been applied to a wide range of applications, including image and speech recognition, natural language processing, and more. It also provides a glimpse into the future of deep learning and how it is likely to continue to impact a variety of fields.
>
>I hope these references are helpful! Let me know if you have any other questions.
So, I asked: Is "The Deep Learning Revolution" fun to read?
ChatGPT:
>"The Deep Learning Revolution" by Terrence J. Sejnowski is an engaging and informative read for anyone interested in the history and future of deep learning. It provides a broad overview of the field and discusses how deep learning has been applied to a wide range of applications, including image and speech recognition, natural language processing, and more. Sejnowski writes in an accessible style and does a good job of explaining complex concepts in a way that is easy to understand. Overall, I think most people would find it an enjoyable and educational read.
I still think that ChatGPT does not have a proper opinion, as it could think that a book is easy to read but be inapprehensible for a human. But the answer may be useful nonetheless. It, at least, can be used as a starting point to further investigate.
ChatGPT can be used to find answers just like Google is used to find an answer in StackOverflow.
I foresee that new rules may be needed in Reddit to what to do with ChatGPT copy/paste, like Stackoverflow already did.
josep-panadero t1_j3h4m2w wrote
Reply to [D] What is the most complete reference on the history of neural networks? by gbfar
At this point ChatGPT seems to be quite good at getting answers to this kind of questions. What it does not provide is a personal assessment like "this book is inspiring" or "it was fun to read".
ChatGPT:
>There isn't a single reference that covers the entire history of neural networks in great detail, but there are a number of good books that you might find helpful. Here are a few that you might want to check out:
>
>"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: This book provides a comprehensive introduction to deep learning, including a historical overview of the field. It covers the key ideas that have driven the development of neural networks from the early days up to the current deep learning era, and provides information on their main contributions and inspirations.
>
>"Neural Networks: A Comprehensive Foundation" by Simon S. Haykin: This book is considered a classic reference in the field of neural networks. It provides a detailed historical overview of the field, starting with the early perceptron models and moving through the development of more sophisticated architectures such as convolutional neural networks and recurrent neural networks.
>
>"The Deep Learning Revolution" by Terrence J. Sejnowski: This book provides a broad overview of the history of neural networks and deep learning, and discusses how these technologies have been applied to a wide range of applications, including image and speech recognition, natural language processing, and more. It also provides a glimpse into the future of deep learning and how it is likely to continue to impact a variety of fields.
>
>I hope these references are helpful! Let me know if you have any other questions.
So, I asked: Is "The Deep Learning Revolution" fun to read?
ChatGPT:
>"The Deep Learning Revolution" by Terrence J. Sejnowski is an engaging and informative read for anyone interested in the history and future of deep learning. It provides a broad overview of the field and discusses how deep learning has been applied to a wide range of applications, including image and speech recognition, natural language processing, and more. Sejnowski writes in an accessible style and does a good job of explaining complex concepts in a way that is easy to understand. Overall, I think most people would find it an enjoyable and educational read.
I still think that ChatGPT does not have a proper opinion, as it could think that a book is easy to read but be inapprehensible for a human. But the answer may be useful nonetheless. It, at least, can be used as a starting point to further investigate.
ChatGPT can be used to find answers just like Google is used to find an answer in StackOverflow.
I foresee that new rules may be needed in Reddit to what to do with ChatGPT copy/paste, like Stackoverflow already did.