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upnik Jutranje vaje In tako naprej eta float to fixed neural net morilec trojanski konj Stvarnost
Accurate deep neural network inference using computational phase-change memory | Nature Communications
Making Neural Nets Work With Low Precision | Manas Sahni
Neural networks and deep learning
A Step by Step Backpropagation Example | Matt Mazur
Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network | SpringerLink
Electronics | Free Full-Text | Machine Learning in Resource-Scarce Embedded Systems, FPGAs, and End-Devices: A Survey
Making Neural Nets Work With Low Precision | Manas Sahni
Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network | SpringerLink
ML05: Neural Network on iris by Numpy | Analytics Vidhya
Tutorial 3: Deep linear neural networks — Neuromatch Academy: Deep Learning
Heterogeneous Neural Networks - FATE
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Number formats commonly used for DNN training and inference. Fixed... | Download Scientific Diagram
Towards motion planning of humanoids using a fuzzy embedded neural network approach - ScienceDirect
Energy-Efficient Hardware Implementation of Fully Connected Artificial Neural Networks Using Approximate Arithmetic Blocks | SpringerLink
Neural Network Optimization with AIMET - Edge AI and Vision Alliance
embedding - TensorFlow: How to embed float sequences to fixed size vectors? - Stack Overflow
Accurate deep neural network inference using computational phase-change memory | Nature Communications
Spiking Neural Networks: where neuroscience meets artificial intelligence | AI Summer
SA‐FlowNet: Event‐based self‐attention optical flow estimation with spiking‐analogue neural networks - Yang - IET Computer Vision - Wiley Online Library
JLPEA | Free Full-Text | Big–Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks | Nature Machine Intelligence
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses | Scientific Reports
MultilayerPerceptron: A simple multilayer neural network - mlxtend
Applied Sciences | Free Full-Text | Convolutional Neural Network-Based Gear Type Identification from Automatic Identification System Trajectory Data
Tutorial 3: Deep linear neural networks — Neuromatch Academy: Deep Learning
Introduction to Graph Neural Network | by Shivam Bajpai | Medium
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Mathematics | Free Full-Text | Perceptron: Learning, Generalization, Model Selection, Fault Tolerance, and Role in the Deep Learning Era
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