TensorFlow for Beginners: Basic Binary Image Classification

About this course

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.

What you will learn

• 1. Build and train a neural network and machine learning models in TensorFlow for image recognition and binary classification tasks
• 2. Enhance model generalization and performance by using techniques for preprocessing image, including resizing, normalization, and data augmentation
• 3. Assess neural network models, gauge their precision, and adjust model parameters as necessary to enhance accuracy