AyshUnderstanding Generative Adversarial Networks (GANs): A Journey into AI CreativityIn recent years, the field of artificial intelligence (AI) has witnessed revolutionary advancements, with one of the most fascinating…Jun 18Jun 18
AyshGraph Neural Networks & Bayesian Neural Networks and Meta Learning1-Graph Neural NetworksJun 13Jun 13
AyshTransformersTransformers are new deep learning neural networks introduced by Hugging Face in 2017,mainly used in the field of natural language…Jun 9Jun 9
AyshNamed Entity Recognition (NER)Named Entity Recognition (NER) is a process in Natural Language Processing (NLP) that identifies and classifies key elements (named…Jun 7Jun 7
AyshRECURRENT NEURAL NETWORKSRecurrent neural networks(RNNs) are another popular deep learning neural network,along with convolutional neural networks.Convolutional…Jun 7Jun 7
AyshWhat are the differences between VGG, ResNet,DenseNet,MobileNet, EffecientNet,and YOLO AUTOENCODER…Each of these deep learning architectures is optimized for specific scenarios, and which one is best varies depending on usage. Below is a…Jun 6Jun 6
AyshCNN Layers VisualizationDuring the development you may to see the output of each layer of a convolutional neural networks(CNN),whether for debugging puposes or…Jun 3Jun 3
AyshCNN:AUTOENCODER, SIAMESE NEURAL NETWORKS,CAPSULE NETWORKSAutoEncoder is a neural network architecture,consisting of two connected networks.Encoder and Decoder.The encoder receives the input image…May 31May 31