Crandi

Gio Assuncao Giovanna Assunção Github

Leo Migdal
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gio assuncao giovanna assunção github

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse. A repository to accompany my reading of the book "Designing Machine Learning Systems" by Chip Huyen A repository to make available and organize the codes developed during the execution of a technical note on Medium about Optimization in Deep Learning

A repository for my Machine Learning Course's Final Project A repository to make available and organize the codes developed during the execution of a technical note on Medium about Optimization in Deep Learning. These codes enable practical visualization of the theoretical concepts covered in the work, this is part of the coursework for the Machine Learning course by professor Ivanovitch Medeiros. The code in the .ipynb files can be found under 'files' in this repository or accessed directly through these Google Colab links: 1. Visualizando Gradientes Adaptados: Code to help visualize the changes in gradients, corrected gradients, and adapted gradients throughout model training, using EWMA and the Adam optimizer.

2. SGD Momentum e Nesterov: Code to help compare the behavior of SGD optimizer in three ways: normal, with momentum, and with Nesterov momentum. Analyzing gradients, path and loss functions. 3. Learning Rate Schedulers: Code to help understand the differences in a model training using learning rate schedulers, specifically StepLR and CyclicLR. A repository to make available my presentation and codes of my final project for the Machine Learning course by professor Ivanovitch Medeiros.

The project is about Transfer Learning with the goal to evaluate the performance of a pre-trained model using transfer learning techniques. It was chosen the pre-trained model (MobileNetV2) and applied feature extraction and fine-tuning techniques. The slideshow presentation is available here. The code was developed in Google's Colab Platform using Python coding and the Brain Tumor MRI Image Dataset. Here's the video explanation (in Portuguese): A repository to accompany my reading of the book "Designing Machine Learning Systems" by Chip Huyen, this is part of the coursework for the Machine Learning course by professor Ivanovitch Medeiros.

The assignment was to read the first five chapters of the book "Designing Machine Learning Systems" by Chip Huyen and create five video presentations, one for each chapter, explaining its content and giving our... (Note: The explanations on all videos are in portuguese, but I'm working on making available good english subtitles for the videos.) Slideshow presentation Chapter 1 - Overview of Machine Learning Systems: https://www.loom.com/share/3ecc71fd226741afb5b045295914dddc?sid=7e7d5e30-af4c-4c21-944a-c33a4e871f59 Chapter 2 - Introduction to Machine Learning Systems Design: https://www.loom.com/share/16bd5e420ee84011a0a73e8a2c4c0204?sid=18619558-554e-4249-b291-70846e951e00 Chapter 3 - Data Engineering Fundamentals: https://www.loom.com/share/f52b584f206345b091d9545ea4ac1683?sid=b1e3164f-1ae5-4324-bd4d-6a630f2117f0 Instantly share code, notes, and snippets.

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse. Personal config files for tmux, i3, vim and profile Infnet - all exercises from all semesters.

This is just a central repository to keep everything together in a single place but each grade will have its own submodule. There was an error while loading. Please reload this page.

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Prevent This User From Interacting With Your Repositories And Sending

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse. A repository to accompany my reading of the book "Designing Machine Learning Systems" by Chip Huyen A repository to make available and organize the codes developed during the execution of a tec...

A Repository For My Machine Learning Course's Final Project A

A repository for my Machine Learning Course's Final Project A repository to make available and organize the codes developed during the execution of a technical note on Medium about Optimization in Deep Learning. These codes enable practical visualization of the theoretical concepts covered in the work, this is part of the coursework for the Machine Learning course by professor Ivanovitch Medeiros....

2. SGD Momentum E Nesterov: Code To Help Compare The

2. SGD Momentum e Nesterov: Code to help compare the behavior of SGD optimizer in three ways: normal, with momentum, and with Nesterov momentum. Analyzing gradients, path and loss functions. 3. Learning Rate Schedulers: Code to help understand the differences in a model training using learning rate schedulers, specifically StepLR and CyclicLR. A repository to make available my presentation and cod...

The Project Is About Transfer Learning With The Goal To

The project is about Transfer Learning with the goal to evaluate the performance of a pre-trained model using transfer learning techniques. It was chosen the pre-trained model (MobileNetV2) and applied feature extraction and fine-tuning techniques. The slideshow presentation is available here. The code was developed in Google's Colab Platform using Python coding and the Brain Tumor MRI Image Datas...

The Assignment Was To Read The First Five Chapters Of

The assignment was to read the first five chapters of the book "Designing Machine Learning Systems" by Chip Huyen and create five video presentations, one for each chapter, explaining its content and giving our... (Note: The explanations on all videos are in portuguese, but I'm working on making available good english subtitles for the videos.) Slideshow presentation Chapter 1 - Overview of Machin...