--- title: "Fadhil Elrizanda (@fadhilelrizanda) | Hashnode" description: "Machine Learning Engineer, building the art from the state-of-the-art. Read the latest articles by Fadhil Elrizanda on Hashnode." url: "https://hashnode.com/@fadhilelrizanda" --- @fadhilelrizanda # Fadhil Elrizanda @fadhilelrizanda · Indonesian · Joined November 2024 Machine Learning Engineer, building the art from the state-of-the-art ### [Diving into Transformer : Attention Is All You Need!](https://elrizanda.hashnode.dev/diving-into-transformer-attention-is-all-you-need?utm_source=hashnode&utm_medium=feed) Transformer is a deep neural network architecture that introduced in “attention is all you need”. It is designed for sequence to sequence tasks. 6 min read · [elrizanda.hashnode.dev](https://elrizanda.hashnode.dev/diving-into-transformer-attention-is-all-you-need?utm_source=hashnode&utm_medium=feed) [Mar 10, 2025](https://hashnode.com/posts/diving-into-transformer-attention-is-all-you-need/67ce68b265f00211d33469bc) ### [Intel Scene Image Classification VGG Hyperparameter Tuning](https://elrizanda.hashnode.dev/intel-scene-image-classification-vgg-hyperparameter-tuning?utm_source=hashnode&utm_medium=feed) Overview Hyperparameter tuning is one of the lifecycle of designing and building machine learning algorithm. Hyperparameter tuning is a process to find the best parameter for algorithm based in our case. Although may not significantly improve the per... 5 min read · [elrizanda.hashnode.dev](https://elrizanda.hashnode.dev/intel-scene-image-classification-vgg-hyperparameter-tuning?utm_source=hashnode&utm_medium=feed) [Mar 10, 2025](https://hashnode.com/posts/intel-scene-image-classification-vgg-hyperparameter-tuning/67ce64eabf847c64ab8e6f0a) ### [Regularization Techniques to Improve Deep Learning Performance](https://elrizanda.hashnode.dev/regularization-techniques-to-improve-deep-learning-performance?utm_source=hashnode&utm_medium=feed) Overview When building and training deep learning models we often facing the problem of overfitting. Overfitting may happen due the model complexity or the model is “memorized” the training dataset instead of learning generalizable patterns. This be... 5 min read · [elrizanda.hashnode.dev](https://elrizanda.hashnode.dev/regularization-techniques-to-improve-deep-learning-performance?utm_source=hashnode&utm_medium=feed) [Dec 27, 2024](https://hashnode.com/posts/regularization-techniques-to-improve-deep-learning-performance/676f338c1dfd63711bd6e823) ### [Learning to Build ResNet for Intel Scene Classification from Scratch](https://elrizanda.hashnode.dev/learning-to-build-resnet-for-intel-scene-classification-from-scratch?utm_source=hashnode&utm_medium=feed) Overview This dataset is scene classification dataset that published by Intel. This dataset also used in previous implementation. Dataset consist of 6 class that consist of difference categories like buildings, forest, glacier, mountain, sea, and str... 8 min read · [elrizanda.hashnode.dev](https://elrizanda.hashnode.dev/learning-to-build-resnet-for-intel-scene-classification-from-scratch?utm_source=hashnode&utm_medium=feed) [Dec 24, 2024](https://hashnode.com/posts/learning-to-build-resnet-for-intel-scene-classification-from-scratch/676a9a48dd935f2df9cc15d4) ### [MobileNet Explained: A Slim and Efficient CNN Model](https://elrizanda.hashnode.dev/mobilenet-explained-a-slim-and-efficient-cnn-model?utm_source=hashnode&utm_medium=feed) Overview The paper “MobileNet: Efficient Convolutional Neural Network for Mobile Vision Application” authored by Andrew G. Howard, Menglong Zhu, and others in 2017, introduces a new approach for convolutional neural network which is more efficient an... 3 min read · [elrizanda.hashnode.dev](https://elrizanda.hashnode.dev/mobilenet-explained-a-slim-and-efficient-cnn-model?utm_source=hashnode&utm_medium=feed) [Dec 24, 2024](https://hashnode.com/posts/mobilenet-explained-a-slim-and-efficient-cnn-model/676a7c17beb2f24f47193f36)