Author Archives: Rajkumar Lakshmanamoorthy - Page 9
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
The post Guide to Google’s Tensor2Tensor for Neural Machine Translation appeared first on Analytics India Magazine.
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
The post Guide to Google’s Tensor2Tensor for Neural Machine Translation appeared first on Analytics India Magazine.
ODE2VAE, a representation learning model, achieves state-of-the-art performance in long-term motion prediction and imputation tasks
The post Guide to ODE2VAE For Long-Term Motion Prediction appeared first on Analytics India Magazine.
TransUNet, a Transformers-based U-Net framework, achieves state-of-the-art performance in medical image segmentation applications
The post Hands-on TransUNet: Transformers For Medical Image Segmentation appeared first on Analytics India Magazine.
Evaluation of a machine learning model is crucial to measure its performance. Numerous metrics are used in the evaluation of a machine learning model. Selection of the most suitable metrics is important to fine-tune a model based on its performance. In this article, we discuss the mathematical background and application of evaluation metrics in classification…
The post Python Code for Evaluation Metrics in ML/AI for Classification Problems appeared first on Analytics India Magazine.
An open-source library, SHAP puts an end to the question on reliability of a machine learning model
The post Hands-on Guide to Interpret Machine Learning with SHAP appeared first on Analytics India Magazine.
An open-source library, SHAP puts an end to the question on reliability of a machine learning model
The post Hands-on Guide to Interpret Machine Learning with SHAP appeared first on Analytics India Magazine.
Stable View Synthesis achieves state-of-the-art performance in 3D photorealistic view synthesis, significantly outperforming any of the current approaches
The post Guide to Intel’s Stable View Synthesis – A State-of-Art 3D Photorealistic Framework appeared first on Analytics India Magazine.
Stable View Synthesis achieves state-of-the-art performance in 3D photorealistic view synthesis, significantly outperforming any of the current approaches
The post Guide to Intel’s Stable View Synthesis – A State-of-Art 3D Photorealistic Framework appeared first on Analytics India Magazine.
How To Use Plotly In Colab
Plotly is now more powerful than ever with a new open source library named JupyterDash. JupyterDash is developed on top of the Dash framework to make it completely suitable for notebook environments such as Colab.
The post How To Use Plotly In Colab appeared first on Analytics India Magazine.