courseraАнализ данных

TensorFlow for Beginners: Basic Binary Image Classification

Курс от Coursera

Начальный≈ 3.2 чАнглийский

О курсе

The goal of this project is to introduce beginners to the basic concepts of machine learning using TensorFlow. The project will include, how to set up the tool and get started as well as understanding the fundamentals of machine learning/neural network model and its key concepts. Learning how to use TensorFlow for implementing machine learning algorithms, data preprocessing, supervised learning. Additionally, learners develop skills in evaluating and deploying machine learning models using TensorFlow.

Навыки, которые вы освоите

Model Evaluation Tensorflow Artificial Neural Networks Data Preprocessing Convolutional Neural Networks Fine-tuning Model Deployment Data Processing Model Training Image Analysis Network Model Applied Machine Learning Machine Learning Methods Deep Learning Model Optimization Computer Vision

Программа курса

1 модулей · 6 учебных материалов

01Project Overview6 материалов

Your Learning Journey

Project OverviewЧтение Google Colab GuidebookЧтение TensorFlow for Beginners: Basic Binary Image ClassificationВнешний инструмент TensorFlow for Beginners: Basic Binary Image ClassificationЛабораторная

Учитесь у экспертов

Soumava Dey

Преподаватель курса