I will build deep learning CNN ai models with tensorflow transfer learning

I build custom image classification models using Convolutional Neural Networks (CNNs) and transfer learning for product defect detection, medical imaging, waste sorting, damage assessment, or any custom image category you need classified.

What I can build for you:

• Custom CNN architectures trained on your image dataset
• Transfer learning using pretrained models (MobileNet, ResNet, VGG) for faster, more accurate results on small datasets
• Multi-class image classification
• Image captioning / description generation for advanced use cases

What you'll receive:

• Preprocessed and augmented image dataset
• Trained CNN model with accuracy/loss curves
• Evaluation report (accuracy, confusion matrix)
• Jupyter Notebook with full explanation
• Saved model file (.h5 / .keras) ready to use

Tools I use: Python, TensorFlow, Keras, CNN, Transfer Learning, NumPy, Matplotlib

I've built and shipped real CNN projects including an aircraft damage classification system (CNN + RNN + Transformers for image captioning) and a waste classification model using transfer learning. Links available in my portfolio.

Message me with your image dataset and class categories before ordering, so I can confirm feasibility and  time.