Eran Feit Blog posts

Introduction Building high-accuracy deep learning models from scratch requires more than just piling up neural layers; it demands a robust, end-to-end pipeline. In this TensorFlow image classification CNN tutorial, you will master how to engineer a production-ready Keras workflow capable of sorting complex meteorological data into five distinct categories. We will resolve the common pitfalls

Brain Tumor Classification with CNN and Keras This tutorial builds a complete deep learning pipeline for brain tumor classification from brain MRI images using Python and Keras.You will organize the dataset into train, validation, and test splits to ensure reliable medical image classification results.A compact CNN architecture will be trained with image augmentation, binary cross-entropy,

TensorFlow Image Classification with Keras: Flower Recognition, Data Augmentation, and OpenCV Prediction In this comprehensive TensorFlow Image Classification Tutorial, we will explore how to build and deploy a robust deep learning model to recognize various flower species using Python. Image classification is a fundamental pillar of Computer Vision, and by leveraging the Keras API within

Build a Food Classification Pipeline with Python and TensorFlow Introduction TensorFlow food image classification is a practical way to recognize what’s inside an image and turn pixels into a label your app can use.In this tutorial, you’ll build a 36-class fruits and vegetables classifier in Python using TensorFlow / Keras, while using OpenCV for consistent