India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Looking for datasets for deep learning? Explore our list of openly available datasets that can help you master image processing, speech recognition, and more.
Learn the importance of CNN visualization. This article covers visualizing Convolutional Neural Network and methods of visualization in Python.
PyTorch guide for deep learning! Explore tensors, autograd, and build a neural network. Plus, a case study on image recognition.
A fun deep learning project to count chairs, their location in a room from an image provided. The article lays challenges & approach using Imagenet & YOLO
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Deep learning applications for beginners using python. This article explains 5 deep learning applications using API and open source.
This article is a comparison between Keras and Theano. It also covers advanced techniques like transfer learning and fine tuning.
Edit
Resend OTP
Resend OTP in 45s