Resnet50 Tutorial: Classifying Car Images with Transfer Learning and Tensorflow

Hi, In this video tutorial, you’ll discover how to classify car images using computer vision and deep learning. We’ll be using Tensorflow and Keras to configure a Resnet50 model that can quickly and accurately classify car brands with transfer learning. Whether you’re interested in building your own image classification models or want to apply deep […]

Resnet50 Tutorial: Classifying Car Images with Transfer Learning and Tensorflow Read More »

TensorFlow Transfer Learning: Classify Images with Mobilenet and Python

In this video, we’ll show you how to use TensorFlow and Mobilenet to train an image classification model through transfer learning. We’ll guide you through the process of preprocessing image data, fine-tuning a pre-trained Mobilenet model, and evaluating its performance using validation data. The link for the video tutorial is here : https://youtu.be/xsBm_DTSbB0&list=UULFTiWJJhaH6BviSWKLJUM9sg Code for

TensorFlow Transfer Learning: Classify Images with Mobilenet and Python Read More »

How to classify landmarks using Tensorflow , Tensor-Hub and Python ?

Hi, This is a Tensorflow tutorial that enables you to classify world landmarks using the pre-trained Tensor-Hub platform. We will how install the relevant Python libraries , look for the right pre-trained model , and learn how to use it for classify landmark images in Europe. The link for the video tutorial is here :

How to classify landmarks using Tensorflow , Tensor-Hub and Python ? Read More »

Building a CNN Model for Chess Piece Recognition in Python and Tensorflow

Are you interested in learning how to use deep learning and image classification to predict chess pieces? Check out our new tutorial on building a convolutional neural network model in Python with Tensorflow and Keras! This step-by-step guide will show you how to build and train a model using CNN and evaluate its accuracy and

Building a CNN Model for Chess Piece Recognition in Python and Tensorflow Read More »

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

Hi, This is a transfer learning – Vgg19 – Convolutional neural network tutorial that demonstrates how to classify weather scenes  based on in dataset of weather images. We will use the Vgg19 pre-trained model , and adjust it to our classification request. We will use most of the model , and change only the last

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

🌦️ Cnn Tensorflow Image Classification | Weather Image Classification 🌦️

Welcome to artificial intelligence and weather image prediction tutorial ! In this tutorial, we dive deep into Convolutional Neural Networks (CNNs) using TensorFlow and Keras to categorize weather patterns. 🔍 Key Topics Covered: 🔹 Setting up a CNN model for image classification. 🔹 Utilizing TensorFlow and Keras for efficient deep learning. 🔹 Training the model

🌦️ Cnn Tensorflow Image Classification | Weather Image Classification 🌦️ Read More »

Brain Tumor Classification using Deep learning

Welcome to Brain tumor beginner tutorial, where we delve into world of CNNs (Convolutional Neural Networks) and their groundbreaking applications in image classification and brain tumor detection. This is a simple tutorial convolutional neural network tutorial that demonstrates how to brain tumor in a dataset of images. We will build and train a model using

Brain Tumor Classification using Deep learning Read More »

TensorFlow CNN Tutorial: Flower Classification with Python 🌷

Hi, 🌼 In our latest video tutorial, we will dive into image classification using Python and TensorFlow. Discover how to create a Convolutional Neural Network (CNN) 📊 that can identify various types of flowers 🌻. What you’ll learn: If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras

TensorFlow CNN Tutorial: Flower Classification with Python 🌷 Read More »

TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet

This is an image Classification tutorial using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs). In this video, we’ll learn how to use pre-trained models to classify images based on Resnet50 and Mobilenet. If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you

TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet Read More »

TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras

🎥 In this video tutorial, we will dive deep into the world of sports image classification! 🏀📸 🔍 What’s Covered in this Video: 📦 Dataset Download: We’ll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories. 🏋️‍♂️ Model Building: Using TensorFlow and Keras, we’ll dive into the

TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras Read More »

Eran Feit