Eran Feit Courses

Transfer Learning Using Keras

Learn to classify car brands using transfer learning with Keras and ResNet50. Hands-on tutorial covers dataset preparation, model configuration, training, and prediction visualization.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Convolutional Neural Networks - Deep Learning Basics with Python, TensorFlow and Keras

Learn to build and train a convolutional neural network for chess piece image classification using Python, TensorFlow, and Keras. Covers dataset preparation, model creation, and prediction testing.

• YouTube
• 41 minutes
• On-Demand
• Free Video

How to Classify Natural Scenes Using Tensorflow, Python, and CNN

Learn to classify natural scenes using TensorFlow and CNN. Build, train, and test a model for image classification with Python, covering dataset preparation, model creation, and prediction.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Transfer Learn in Weather Images

Learn to classify weather images using transfer learning with Python, TensorFlow, and VGG19. Covers dataset preparation, model implementation, and image prediction.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Deep Learning in Weather Images - Using TensorFlow and CNN

Learn to build a CNN model using TensorFlow and Keras to predict weather scenes from images. Covers dataset preparation, model creation, training, and testing.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Cancer Detection in Brain Using Deep Learning

Learn to detect brain tumors using deep learning, CNN, and TensorFlow. Build, train, and test a model for classifying brain images with hands-on coding and practical implementation.

• YouTube
• 40 minutes
• On-Demand
• Free Video

How to Classify Flowers Using Deep Learning

Learn to build a convolutional neural network for flower image classification using TensorFlow and Keras, from dataset preparation to model testing and prediction.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Medical Polyp Image Segmentation with U-Net and TensorFlow Keras

Step-by-step guide to implement U-Net for medical polyp image segmentation using TensorFlow/Keras, covering data preprocessing, model architecture, training, and evaluation.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Res-UNet for Melanoma Segmentation - TensorFlow Tutorial

Step-by-step guide to implement and train a Res-UNet model for Melanoma detection using TensorFlow and Keras. Learn to build, train, test, and visualize results for accurate skin lesion segmentation.

• YouTube
• 31 minutes
• On-Demand
• Free Video

U-Net Person Segmentation - How to Segment Persons in Images

Learn to implement and train a U-Net model for person segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Dog Segmentation with YOLOv8 for Images and Videos

Learn to segment dogs in images and videos using YOLOv8 and Python. Train AI, isolate dogs from backgrounds, and merge with custom scenes. Step-by-step guide with code included.

• YouTube
• 32 minutes
• On-Demand
• Free Video

How to Train YOLOv5 on a Custom Dataset

Learn to train YOLOv5 for custom object detection in Python, covering installation, dataset preparation, model training, and result testing on new images.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Dog Breed Detection using YOLOv8 and Deep Learning

Learn to build a YOLOv8-based dog breed detection system using deep learning. Master data preparation, model training, and making predictions with bounding boxes.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Deep Learning for Basketball Game Detection - YOLOv8 Object Detection Tutorial

Develop a custom YOLOv8 model for real-time basketball object detection, covering automatic labeling, model training, and live inference on game footage.

• YouTube
• 39 minutes
• On-Demand
• Free Video