PinnedAnna Alexandra GrigoryanBeyond Classical Limits: A Deep Dive into Quantum Vector SearchImplementing quantum vector search in the scope of current quantum technologies and its limitations.Mar 241Mar 241
PinnedAnna Alexandra GrigoryanRolling in the Deep: RNNIntroduction to Recurrent Neural NetworksJul 4, 20191Jul 4, 20191
PinnedAnna Alexandra GrigoryanRolling in the Deep: RBMsAll you need to know about Restricted Boltzmann MachinesJul 20, 2019Jul 20, 2019
Anna Alexandra GrigoryanUnderstanding VGG Neural Networks: Architecture and ImplementationVGG’s depth-powered brilliance.Aug 14, 2023Aug 14, 2023
Anna Alexandra GrigoryanExploring Wide and Deep NetworksSynergizing explicit and learned patterns for enhanced machine learning with Wide and Deep Networks.Aug 14, 2023Aug 14, 2023
Anna Alexandra GrigoryanCapturing Non-linear Relationships with Quadratic LayersCapturing complex relationships with neural networks by adding quadratic layers.Aug 13, 2023Aug 13, 2023
Anna Alexandra GrigoryanBuilding Siamese Networks using TensorFlow’s Functional API: A Comprehensive GuideUnlocking Similarity Learning: Siamese Networks with TensorFlow’s Functional APIAug 12, 2023Aug 12, 2023
Anna Alexandra GrigoryanMastering Neural Network Architectures with TensorFlow’s Functional APIExplore TensorFlow Functional API: Usage, text-image fusion, benefits, best practices.Aug 12, 2023Aug 12, 2023
Anna Alexandra GrigoryanCanary Releases of TensorFlow Model Deployments with Kubernetes: A Comprehensive GuideCanary releases for TensorFlow on Kubernetes: A guide.Aug 10, 2023Aug 10, 2023
Anna Alexandra GrigoryanIntroduction to Kubernetes: Exploring Pods, Services, and Deployments“Master Kubernetes: Pods, Services, Deployments — Unleash App Efficiency, Scale, & Control!”Aug 10, 2023Aug 10, 2023
