YoVDO

Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Offered By: Eran Feit via YouTube

Tags

Image Segmentation Courses Deep Learning Courses Computer Vision Courses TensorFlow Courses Keras Courses Data Preprocessing Courses Model Evaluation Courses Model Training Courses U-Net Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to implement and train a U-Net model for animal segmentation using TensorFlow and Keras in this comprehensive tutorial. Dive into data preprocessing, U-Net architecture design, model training, and evaluation. Follow along as you load and prepare the dataset, construct the U-Net model, train it with optimized parameters, and perform inference on test images. Gain practical experience in computer vision and deep learning techniques while working on a real-world animal segmentation task.

Syllabus

Intro !!!!!!!
The U-net architecture
Download the dataset and prepare the data
Build The U-net model
Train the model
Test the model with new fresh images


Taught by

Eran Feit

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX