What is artificial general intelligence and what are researchers doing to achieve this goal today? Oriol Vinyals, from Google DeepMind, walks you through the
Tag: Deep Learning
Advanced Deep Learning Course, by DeepMind
Advanced Deep Learning Course, by DeepMind Lecture 1 – Introduction to Machine Learning-Based Ai Lecture 2 – Introduction to Tensor Flow Lecture 3 –
Deep Learning applications for COVID-19 : Survey Paper (2021)
This survey searches how Deep Learning has battled the COVID-19 pandemic and provides ways for future research on COVID-19. It covers Deep Learning applications
Basic Concepts in Deep Learning
Deep learning is a machine learning method consisting of multiple layers that predict results with a given data set. Deep learning, machine learning, and
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images | Article
Cancer is a disease that has several manifestations and it is primarily associated with abnormal cell groups. These cancer cells continue to divide and
Deep learning for lung Cancer detection and classification | Article
Lung cancer is one of the most important deadly diseases in the world. The recent estimates provided by the World Health Organization (WHO) says
MIT Introduction to Deep Learning : (New 2021 Edition)
MIT’s introductory course on deep learning methods with applications in gameplay, and more! MIT’s introductory course on deep learning methods with applications to computer
Machine Learning Engineering for Production (MLOps)
On June 30, 2021, Deep Learning pioneers, including Andrew Ng, the founder of DeepLearning.AI, introduced Machine Learning Engineering for Production (MLOps). MLOps or ML
Singularity of the Hessian in Deep Learning | Yann LeCun, Leon Bottou, Levent Sagun | Article
Given a (piece-wise) differentiable loss function, and a gradient-based algorithm to minimize it, the knowledge of the second-order information about it can tell us
Deep learning based software defect prediction
The complexity of modern software systems is increasing, and the resulting software applications often contain defects that can have severe negative impacts on the