Archives for November, 2021 - Page 7
The exploding and disappearing gradient problems are the issues that arise when using gradient-based learning methods and backpropagation to train artificial neural networks.
Unsupervised deep learning research indicates that the brain divides faces into semantically relevant characteristics like age.
L1 and L2 regularization techniques can be used for the weights of the neural networks. using regularization of weights we can avoid the overfitting problem of the network
Explainability is emerging for many domains such as medical imaging, assisted driving, and manufacturing defect detection.
Explainability is emerging for many domains such as medical imaging, assisted driving, and manufacturing defect detection.
The new joiners will be working in some cutting-edge technologies, which are in great demand and are futuristic, like Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), Deep Learning, networks, and image processing. Samsung India has three R&D centres in the country in Bengaluru, Noida, and Delhi.
Women constitute a mere 22 per cent or less than a quarter of professionals in the field of AI and Data Science.
With the analytics industry now an integral part of the economy, there are scores of data science programmes in India that are being added by academic institutions. However, it can become confusing for students to decide on what courses best suit their needs. Hence, Analytics India Magazine surveyed to rank the Programmes in Data Science…
Students will get an opportunity to get hands-on experience in real-time projects and get a practical orientation to new-age analytics across various domains.
The following is a list of the leading research laboratories in Indian institutions that are advancing and innovating in artificial intelligence.