The codes I made while I practiced various TensorFlow examples

Related tags

Deep LearningTensorFlow_Exercises
Overview

TensorFlow_Exercises

The codes I made while I practiced various TensorFlow examples

About the codes

I didn't create these codes by myself, but re-create the codes while I was practicing other TensorFlow examples. Here is the list of example codes I refered to.

List of the exercise codes

  1. Linear Regression
  2. Logistic Regression
  3. Multilayer Perceptron
  4. Modern Multilayer Perceptron
  5. Multilayer Perceptron: Top-N results
  6. Convolutional Neural Network

(More exercises will be updating...)

Slides

You can follow the above examples with the slides.

Feel free to make changes for your own project. And please let me know if you have a suggestion to improve the codes. Thank you!

Owner
Terry Taewoong Um
I'm Terry, a PhD student at University of Waterloo. I'm making fun with machine learning techniques (e.g. DNN, GP) and human/robot motion data :)
Terry Taewoong Um
GitHub Repository
A simple algorithm for extracting tree height in sparse scene from point cloud data.

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OOD Generalization and Detection (ACL 2020)

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Streamlit App For Product Analysis - Streamlit App For Product Analysis

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The Pytorch implementation for "Video-Text Pre-training with Learned Regions"

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E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

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Convert Apple NeuralHash model for CSAM Detection to ONNX.

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Creating a custom CNN hypertunned architeture for the Fashion MNIST dataset with Python, Keras and Tensorflow.

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Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

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