In this blog, we x2019 ll deep dive into what Batch Normalization is, why it x2019 s useful, and how it works within deep learning model. By the end x2026 Continue reading on Medium...

Deep learning algorithms for face recognition app development n nThe data faceprint that stored via facial traits that are compared by the face recognition application using deep learning process. It makes an analogy between the real time data capture and the stored database to identify an individual. There are four main concepts subjected to deep learning for facial recognition detection of facial features, alignment, feature extraction, and recognition. n nThe process involved in face recognition1. Face detectionIdentify the human face in the digital images, that locate one or more faces and crop the image data and detect visual scene. n n2. Face alignment n nNormalize the face to be standard with the storage device, such as geometry and photometric. It will be determined to face shape such as eye, noise. n n3. Feature extractionIts type of dimensionality reduction where large number of pixels of the image are efficient that to be entitled in such way that fascinating pa...

Chirag Gajiwala aptly describes the rise of deep learning and neural networks is more than technological advancement it is revolution reshaping industries and driving innovation across the globe....

Deep learning, subset of artificial intelligence AI and machine learning ML is revolutionizing industries by enabling computers to x2026 Continue reading on Medium...

Discover how deep learning powers self driving cars, making them smarter, safer, and closer to being better drivers than humans sorry x2026 Continue reading on ILLUMINATION...

have DL based model for registration of medical images and I ve trained it on dataset MRI images of brain , given in the GitHub repo of the model. Now want to train it on my own dataset FBCT and CBCT images can someone please tell me the steps on ...