What is the difference between TensorFlow and PyTorch?

... CNN; Deep neural network; RT-PCR; Computer model. Received: October 27, 2022 ... Machine Learning With Applications, 6, 100138. https://doi.org/10.1016 ... A regional wind wave prediction surrogate model based on CNN deep learning network ... In recent years, machine learning methods have gradually been ... Jan 21, 2021 ... In machine learning, each type of artificial neural network is tailored to perform certain sets of tasks. In order to explain these tasks and ... Feb 18, 2021 ... The proposed model is called parallel LSTM-CNN Network or PLCNet. Two real-world data sets, namely “hourly load consumption of Malaysia ” as ... Apr 12, 2025 ... CNN in deep learning excels at image classification, which involves sorting images into predefined categories. They can effectively identify ... Feb 17, 2019 ... Everything is rational,” Mike Chen, an equity portfolio manager at Boston-based PanAgora, told CNN Business from the sidelines of the Cayman ... Here, the first deep learning (DL) convolutional neural network (CNN) segmentation of multiclass microscale damage in heterogeneous bulk materials is ... With the increase in computational parallelism and low-power Integrated Circuits (ICs) design, neuromorphic technologies and machine learning algorithms ... Jun 27, 2017 ... The convolution in a CNN is going to be the kernel g of which we will learn some weights in order to extract the information we need and then perhaps apply an ... With the development of deep learning, object detection has achieved very promising results. There are several algorithms and models, such as R-CNN, Faster R- ...