https://projects.eclipse.org/projects/technology.deeplearning4j Popular repositoriesLoading deeplearning4jdeeplearning4jPublic Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ li...
A simple and well designed structure is essential for any Deep Learning project, so after a lot practice and contributing in pytorch projects here's a pytorch project template that combines simplicity, best practice for folder structure and good OOP design. The main idea is that there's much ...
In the rapidly-changing world of AI and deep learning, the course syllabus changes each year, but you can also access past videos in the playlist. Check the year labels on the titles. You can find more 2024 content including slides, projects, labs, and code on the course website. The ...
Need for real-time decision-making and precision engineering/operations. Few disadvantages and limitations of deep learning are as follows: 1. Not suited when the data size is in the order of thousand samples or smaller. 2. Not easy to interpret and explain due to the multiple levels of abst...
Learn Deep Learning in 2023 with best Deep Learning courses, best Deep Learning tutorials & best Deep Learning books in 2023
We present a proposal for deep learning under model uncertainty in this section. We explain this on an explicit example within Tweedie’s distributions. We emphasize that this methodology can be applied in more generality, but it is beneficial here to have an explicit example in mind to illustra...
How can I get you proficient with deep learning for NLP as fast as possible?The Machine Learning Mastery method suggests that the best way of learning this material is by doing. This means the focus of the book is hands-on projects and tutorials. This also means not covering some topics,...
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
The Machine Learning Mastery method suggests that the best way of learning this material is by doing. This means the focus of the book is hands-on with projects and tutorials. This also means not covering some topics, even topics covered by “everyone else” like DSP theory or modeling math...
Jianfeng Gao: It can give you very precise prediction, but it’s hard to explain how the model came up with the prediction. This applies to some tasks like image recognition. Deep learning model does great job for tasks like this, but give a different task, like math task. If I give...