![Ultimate Guide to Input shape and Model Complexity in Neural Networks | by Chetana Didugu | Towards Data Science Ultimate Guide to Input shape and Model Complexity in Neural Networks | by Chetana Didugu | Towards Data Science](https://miro.medium.com/max/1002/1*gAMNusemlDZOvwTN1WKKhQ.png)
Ultimate Guide to Input shape and Model Complexity in Neural Networks | by Chetana Didugu | Towards Data Science
![From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-021-26107-z/MediaObjects/41467_2021_26107_Fig1_HTML.png)
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications
![Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog](https://developer-blogs.nvidia.com/wp-content/uploads/2022/07/GPT-J-Resize.png)
Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog
![Accelerating Inference in TensorFlow with TensorRT User Guide :: NVIDIA Deep Learning Frameworks Documentation Accelerating Inference in TensorFlow with TensorRT User Guide :: NVIDIA Deep Learning Frameworks Documentation](https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/graphics/tensorflow-graph.png)
Accelerating Inference in TensorFlow with TensorRT User Guide :: NVIDIA Deep Learning Frameworks Documentation
![DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research](https://www.microsoft.com/en-us/research/uploads/prod/2021/05/1400x788_deepspeed_no_logo_still-1-scaled.jpg)
DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression - Microsoft Research
![Deep multiblock predictive modelling using parallel input convolutional neural networks - ScienceDirect Deep multiblock predictive modelling using parallel input convolutional neural networks - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0003267021003469-ga1.jpg)
Deep multiblock predictive modelling using parallel input convolutional neural networks - ScienceDirect
![Applied Sciences | Free Full-Text | Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey Applied Sciences | Free Full-Text | Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey](https://pub.mdpi-res.com/applsci/applsci-11-10064/article_deploy/html/images/applsci-11-10064-g001.png?1635815547)
Applied Sciences | Free Full-Text | Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
![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/m685/springer-static/image/art%3A10.1038%2Fs41467-020-16108-9/MediaObjects/41467_2020_16108_Fig1_HTML.png)