Eran Feit Blog posts

Keras Tuner Hyperparameter Optimization: A Guide to High-Accuracy CNNs

TensorFlow tutorials /
Optimize CNN for Accuracy using Keras Tuner Hyper Parameters

Building a deep learning model is only the first step; the real challenge lies in finding the exact configuration that yields the highest accuracy. Keras Tuner Hyperparameter Optimization is the professional standard for automating this process, replacing manual trial-and-error with sophisticated search algorithms like Bayesian Optimization. In this guide, you will solve the common problem […]

Keras Tuner Hyperparameter Optimization: A Guide to High-Accuracy CNNs Read More »

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2)

TensorFlow tutorials /
Tensorflow CNNImage Classification Tutorial

🎥 TensorFlow Image Classification Tutorial With Keras CNN: Image Classification Tutorial Series: Five Parts 🐵 Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images. This is part of our TensorFlow image classification tutorial

How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part2) Read More »

ResNet50 Transfer Learning for Car Image Classification in TensorFlow and Keras.

TensorFlow tutorials /
Resnet50 Tutorial

Introduction This tutorial shows how to build a car image classifier using TensorFlow and Keras with transfer learning on ResNet50.You will train the model with data augmentation, evaluate accuracy and loss, and save the model to an H5 file.Then you will load the trained model to run predictions on new car images and render the

ResNet50 Transfer Learning for Car Image Classification in TensorFlow and Keras. Read More »

MobileNet Image Classification in Python: Complete Keras & OpenCV Tutorial

TensorFlow tutorials /
MobileNet Image Classification

Introduction This tutorial shows how to build a complete image classification pipeline in Python with a pretrained MobileNet model.You will load the model, preprocess any input image to the required dimensions, run inference, decode the ImageNet labels, and render the predicted class directly on the image with OpenCV.By the end, you will have a single,

MobileNet Image Classification in Python: Complete Keras & OpenCV Tutorial Read More »

How to Classify Landmarks Using TensorFlow, TensorHub, and Python

TensorFlow tutorials /
TensorFlow Hub Landmark Classification

Understanding TensorFlow Hub (TensorHub) When building deep learning models, one of the biggest challenges is training from scratch — it’s time-consuming, requires a massive dataset, and demands significant computational power.That’s where TensorFlow Hub (often shortened to TensorHub) comes in. TensorFlow Hub is an open-source platform created by Google that allows developers and researchers to reuse,

How to Classify Landmarks Using TensorFlow, TensorHub, and Python Read More »

How to Build a CNN for Chess Piece Image Classification

TensorFlow tutorials /
Building a CNN Model

Introduction This end-to-end tutorial shows how to build a complete image classification pipeline in Python using TensorFlow Keras, focusing specifically on image classification with keras.You will prepare the dataset folders, split images into train and validation sets, build and train a convolutional neural network (CNN) with augmentation and callbacks, and finally run single-image predictions with

How to Build a CNN for Chess Piece Image Classification Read More »

How to classify weather scenes using TensorFlow, Keras, and Transfer learning – Vgg19 ?

TensorFlow tutorials /
TensorFlow Vgg19

VGG19 Transfer Learning with Keras: Weather Image Classification using Keras VGG19 transfer learning Introduction In this post, we’ll build a complete weather image classification pipeline in Python using Keras with a VGG19 backbone and explore Keras VGG19 transfer learning.You’ll see how to split raw images into train and validation sets, set up data augmentation, attach

How to classify weather scenes using TensorFlow, Keras, and Transfer learning – Vgg19 ? Read More »

How to build a Keras CNN for Weather Image Classification

TensorFlow tutorials /
tensorflow image classification

Introduction This tutorial shows a complete TensorFlow image classification pipeline using Keras CNN.You will learn how to split a weather photo dataset into train and validation sets.You will apply image data augmentation with Keras ImageDataGenerator to improve generalization.You will build and train a deep convolutional neural network for five weather classes.You will visualize accuracy and

How to build a Keras CNN for Weather Image Classification Read More »

How to build a Brain Tumor Classification using Deep learning

TensorFlow tutorials /
brain tumor classification

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,

How to build a Brain Tumor Classification using Deep learning Read More »

Eran Feit