Basic Image Classification with TensorFlow

Coursera Project Network

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend to solve a basic image classification problem.

By the end of this project, you will have:

  • Created, trained, and evaluated a Neural Network model for predicting digits from hand-written images
  • Gained fundamental knowledge of neural networks, TensorFlow, and Keras

What You'll Learn:

  1. Create, train and evaluate a neural network in TensorFlow
  2. Understand the basics of neural networks
  3. Solve classification problems with neural networks

Certificate Available ✔

Get Started / More Info
Basic Image Classification with TensorFlow
More Machine Learning Courses

Deep Learning for Healthcare

University of Illinois at Urbana-Champaign

Deep Learning for Healthcare offers a comprehensive exploration of modern computer science methods applied to medical scenarios, encompassing health data analysis,...

Fundamentals of Machine Learning in Finance

New York University

This course equips learners with the essential knowledge and practical skills to apply machine learning techniques in financial contexts, covering supervised, unsupervised,...

Machine Learning with PySpark: Customer Churn Analysis

Coursera Project Network

Machine Learning with PySpark: Customer Churn Analysis

Titanic Survival Prediction Using Machine Learning

Coursera Project Network

Learn to predict Titanic survivors using logistic regression and naïve bayes classifiers in this 1-hour guided project-based course.