Image Recognition Courses and Certifications

Convolutional Neural Networks in TensorFlow

8225 ratings at Coursera

Improve ConvNet image classifiers in TensorFlow: train on the Cats vs Dogs dataset, curb overfitting with augmentation and dropout, apply transfer learning, and handle multiclass classification.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Computer Vision Fundamentals with Google Cloud

549 ratings at Coursera

Build image classification models: start with pre-built ML APIs and AutoML Vision on Vertex AI, then train custom linear, DNN, and CNN models using augmentation and fine-tuning.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Deep Learning: Convolutional Neural Networks in Python

7394 ratings at Udemy

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

• Udemy
• 13 hours 54 minutes
• Self-Paced
• Paid Course

Coursera

Detecting COVID-19 with Chest X-Ray using PyTorch

340 ratings at Coursera

Train a ResNet-18 model in PyTorch on a COVID-19 radiography dataset to classify chest X-ray scans as normal, viral pneumonia, or COVID-19.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

DroneBot Workshop

Pixy2 Camera - Image Recognition for Arduino & Raspberry Pi

Learn to use the Pixy2 smart camera with Arduino for color-based object recognition, line tracking, intersection detection, and simple barcode reading.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Coursera

Explainable AI: Scene Classification and GradCam Visualization

59 ratings at Coursera

Train a CNN with residual blocks to classify scenery in images, then apply Grad-Cam to visualize and explain how the model reaches its predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

AI Workflow: Machine Learning, Visual Recognition and NLP

101 ratings at Coursera

Evaluate and build models for a streaming media use case: regression and classification metrics, tree-based ensembles, TensorFlow neural nets, Watson Visual Recognition and NLU.

• Coursera
• 2 weeks, 7 hours a week
• Self-Paced
• Paid Course

Convolutional Neural Networks in Python: CNN Computer Vision

1471 ratings at Udemy

Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2

• Udemy
• 7 hours 47 minutes
• Self-Paced
• Paid Course

MathWorks

Machine Learning for Computer Vision

23 ratings at Coursera

Train machine learning models in MATLAB to classify street sign images using bag of features, evaluate classification results, and detect material defects with object detection.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement Grad-CAM in PyTorch: write a custom image-classification dataset class, build a CNN, code train and evaluation loops, and plot class-specific localization heatmaps.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Build, train, and evaluate CNN image classification models in Python, from project setup and architecture to image preprocessing, augmentation, predictions, and accuracy comparison.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Classify Radio Signals with PyTorch

13 ratings at Coursera

Fine-tune a pretrained CNN in PyTorch to classify radio signal spectrogram images into Squiggle, Noise and Narrowband classes, applying spectrogram augmentation and writing train/eval loops.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera

CNNs with TensorFlow: Basics of Machine Learning

Build convolutional neural networks in TensorFlow to classify clothing images into 10 categories, adapting network components and evaluating models to improve accuracy.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

TensorFlow for Beginners: Basic Binary Image Classification

Build a convolutional neural network in TensorFlow to classify cat and dog images, tuning learning rate, batch size and epochs with data augmentation and dropout.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course

Identify Damaged Car Parts with Vertex AutoML Vision

Train a custom AutoML Vision image classification model in Vertex AI that recognizes damaged car parts, then generate predictions from the Cloud Console UI or REST API.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course