What are some online communities and forums where I can discuss CNNs and related topics?

Explore and run machine learning code with Kaggle Notebooks | Using data from Digit Recognizer. Mar 31, 2021 ... This review attempts to provide a more comprehensive survey of the most important aspects of DL and including those enhancements recently added to the field. In this paper, three prediction algorithms have been proposed which will predict the protein secondary structure based on machine learning. A convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing. Oct 2, 2023 ... ... machine learning techniques to overcome the non ... CNN's learned associations related to ejection events in wall-bounded turbulent flows. Mar 19, 2022 ... What is R-CNN? R-CNN or RCNN, stands for Region-Based Convolutional Neural Network. It is a type of machine learning model for computer vision ... Explore CNNs in self-driving cars, including reinforcement learning and Partially Observable Markov Decision Processes. Aug 1, 2019 ... ... CNN), which is kind of deep learning. Mask R-CNN technique is a recently proposed algorithm not only for object detection and object ... A deep neural network (DNN) is an artificial neural network with multiple hidden layers of units between the input and output layers. Neural networks are a subset of machine learning, and they are at the heart of deep learning algorithms. ... With each layer, the CNN increases in its complexity, ...