![A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level | PNAS A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level | PNAS](https://www.pnas.org/cms/asset/58c8fffb-0af5-4560-8ccd-a290455e5f02/keyimage.jpg)
A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level | PNAS
![Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects - ScienceDirect Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1568494614005456-fx1.jpg)
Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects - ScienceDirect
![Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning | Nature Communications Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-019-10827-4/MediaObjects/41467_2019_10827_Fig1_HTML.png)
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning | Nature Communications
Dr M. Markoulides - Deep-neural-network solution of the electronic Schrödinger equation High-accuracy quantum chemistry methods struggle with a combinatorial explosion of Slater determinants in larger molecular systems, but now a method has
![machine learning - is it possible determine a best neural network classifier by considering only accuracy - Data Science Stack Exchange machine learning - is it possible determine a best neural network classifier by considering only accuracy - Data Science Stack Exchange](https://i.stack.imgur.com/zudx1.png)
machine learning - is it possible determine a best neural network classifier by considering only accuracy - Data Science Stack Exchange
![Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models | eLife Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models | eLife](https://iiif.elifesciences.org/lax/53445%2Felife-53445-fig2-v2.tif/full/1500,/0/default.jpg)
Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models | eLife
![Accurate deep neural network inference using computational phase-change memory | Nature Communications Accurate deep neural network inference using computational phase-change memory | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-020-16108-9/MediaObjects/41467_2020_16108_Fig1_HTML.png)
Accurate deep neural network inference using computational phase-change memory | Nature Communications
Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system | PLOS ONE
![How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com](https://machinelearningmastery.com/wp-content/uploads/2018/11/Line-Plots-of-KL-Divergence-Loss-and-Classification-Accuracy-over-Training-Epochs-on-the-Blobs-Multi-Class-Classification-Problem.png)
How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
![How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com](https://machinelearningmastery.com/wp-content/uploads/2019/01/Line-Plot-Showing-Learning-Curves-of-Loss-and-Accuracy-of-the-MLP-on-the-Two-Circles-Problem-During-Training.png)