This is the Linux app named Deep-Learning-Interview-Book whose latest release can be downloaded as Deep-Learning-Interview-Booksourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Deep-Learning-Interview-Book with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Deep-Learning-Interview-Book
DESCRIPTION
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. Explanations emphasize intuition first, then key formulas and common pitfalls, so you can reason through unseen questions rather than memorize trivia. Many entries connect theory to implementation details, including how choices in activation, initialization, or normalization affect convergence and stability. The content is organized for fast review before an interview loop but is also deep enough for systematic study over weeks. Because it’s text-first and modular, it works equally well as a quick refresher or a backbone for a full study plan.
Features
- Curated interview questions mapped to core deep-learning topics
- Math refreshers aligned with practical DL use
- Intuition-first explanations followed by key formulas and pitfalls
- Links from concepts to implementation details and training tips
- Modular structure for targeted, time-boxed review
- Checklists and summaries to speed up last-mile prep
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deep-learn-int-book.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
