https://imflash217.github.io/portfolio/tags/deep-learning/Recent content in Deep-Learning on imflash217Hugo -- 0.146.0en-ushttps://imflash217.github.io/portfolio/blogs/deep_learning/einops/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/einops/Introduction to einops - readable tensor operations with rearrange, reduce, and repeat replacing cryptic transposes.https://imflash217.github.io/portfolio/blogs/deep_learning/einops2/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/einops2/Building ConvNets and Multi-Head Attention with einops - comparing traditional PyTorch vs einops implementations.https://imflash217.github.io/portfolio/blogs/deep_learning/dl_04_09/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/dl_04_09/Notes on covariate shift, label shift, and concept shift - how to detect and correct distribution changes.https://imflash217.github.io/portfolio/blogs/deep_learning/loss/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/loss/Cross entropy loss explained with NumPy implementation for multiclass classification tasks.https://imflash217.github.io/portfolio/blogs/notes/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/notes/Practical tips on LR schedulers, optimizers, and training tricks for deep learning models.https://imflash217.github.io/portfolio/blogs/deep_learning/blog_tf_v1/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/blog_tf_v1/Hands-on TensorFlow v1.0 tutorial - variables, sessions, training algorithms, and building a neural network.https://imflash217.github.io/portfolio/blogs/deep_learning/dl_interviews/Mon, 01 Jan 0001 00:00:00 +0000https://imflash217.github.io/portfolio/blogs/deep_learning/dl_interviews/DL interview prep - maximum entropy, data augmentation, overfitting, and probability of success problems.