Facial Recognition Courses and Certifications

Coursera

Facial Expression Recognition with PyTorch

61 ratings at Coursera

Train a pretrained CNN in PyTorch to classify seven facial expressions from 48x48 grayscale face images, applying image augmentation and writing train and evaluator functions.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

Facial Recognition with Python

2 ratings

Implement facial recognition in Python for identifying faces in images and videos with the face_recognition library.

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

Nicholas Renotte

Build a Python Facial Recognition App with Tensorflow and Kivy

Build a facial verification app from a Siamese neural network, training it with TensorFlow and integrating the model into a Kivy application.

• YouTube
• 5 hours 50 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Facial Recognition App - Deep Learning Project - Paper2Code Series

Master building a complete facial recognition app using Siamese neural networks, from data collection to real-time predictions with OpenCV and Kivy interface.

• YouTube
• 5 hours 50 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow

Build a real-time facial verification app by integrating a trained Siamese neural network model with Kivy, TensorFlow, and a webcam.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Facial Recognition App - Training a Siamese Neural Network - Python

Train a Siamese neural network for facial recognition by building its loss function, optimizer, custom training step, and training loop.

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

Nicholas Renotte

Build a Deep Facial Recognition App - Building a Siamese Neural Network - Python

Implement a Siamese neural network for face verification with image embeddings, an L1 distance layer, and Keras’s Functional API.

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

Nicholas Renotte

Build a Deep Facial Recognition App - Collecting Data - Deep Learning Project Tutorial

Collects LFW negative images and webcam-based anchor and positive samples for a Siamese neural network facial verification app.

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

Nicholas Renotte

Build a Deep Facial Recognition App from Paper to Code - Deep Learning Project Tutorial

Set up TensorFlow and folder structures for a deep-learning facial verification app, including GPU-growth configuration.

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

Nicholas Renotte

Build a Deep Facial Recognition App - Real Time Predictions with OpenCV - Python

Real-time facial verification with OpenCV: build a verification function, tune detection and verification thresholds, and test a Siamese neural network through a webcam.

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

Nicholas Renotte

Build a Deep Facial Recognition App - Making Facial Recognition Predictions - Python

Evaluate a Siamese neural network for facial verification using predictions, precision and recall, visualization, and model saving and reloading.

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

Nicholas Renotte

Build a Deep Facial Recognition App - Preparing Data for Deep Learning - TF Dataloader

Prepare facial verification data in TensorFlow by scaling, labeling, batching, and splitting positive and negative image samples.

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

PyCon Israel

Breaking Into Biometric Databases: Understanding and Exploiting Facial Recognition Systems

Uncover the vulnerabilities in facial recognition systems and learn how to break into biometric databases using brute-force attacks, with practical demonstrations using Dlib-python-library.

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

Packt

Computer Vision: Face Recognition Quick Starter in Python

Detect and recognize faces in images, video, and webcam feeds using face_recognition and OpenCV in Python, plus expression, age and gender detection and landmark-based makeup.

• Coursera
• 7 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

Face Recognition with Keras: Detect & Classify

Build an end-to-end face recognition system: detect faces with MTCNN, draw bounding boxes and keypoints, generate FaceNet embeddings, and train identity classifiers in Keras.

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