TensorFlow Courses and Certifications

Nicholas Renotte

Build a Deep Face Detection Model With Python and Tensorflow - Full Course

1 rating

Build a face detector from webcam images by annotating bounding boxes, augmenting data, training a custom TensorFlow model, and testing real-time detections.

• YouTube
• 2 hours 26 minutes
• Self-Paced
• Free Video

Keith Galli

Introduction to Neural Networks in Python - Tensorflow-Keras

An introductory, code-first guide to building and evaluating neural networks in Python with Keras and TensorFlow through progressively complex classification examples.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Nicholas Renotte

Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects

Build a GAN from scratch in Python and TensorFlow to generate synthetic fashion images with a custom training loop.

• YouTube
• 2 hours 1 minute
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Iris Detection Model Using Python and Tensorflow - Keypoint Detection

Build and test a TensorFlow model from scratch that detects iris keypoints and tracks eyes in real time from webcam frames.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Audio Classifier with Python and Tensorflow

Build a TensorFlow CNN that converts audio waveforms into spectrograms, classifies bird calls, counts detections in recordings, and exports results to CSV.

• YouTube
• 1 hour 17 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

Aladdin Persson

TensorFlow Tutorial - Model Subclassing with Keras - Part 8

Learn to build flexible Keras models through subclassing, including a ResNet-like architecture with skip connections.

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

Nicholas Renotte

How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit

Build a machine learning lip-reading app with Python, TensorFlow, and Streamlit.

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

Nicholas Renotte

Build a Deep Learning Model That Can Lip Read Using Python and Tensorflow

Build a TensorFlow deep learning model that reads spoken words from video by analyzing lip movements.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Uncover What Deep CNNs Are Doing With Python and Tensorflow

Visualize intermediate convolutional neural network layers with Python and TensorFlow to understand how computer vision models produce predictions.

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

Nicholas Renotte

Tensorflow Multi-Person Pose Estimation with Python - Machine Learning Tutorial

Build a TensorFlow and Python application for multi-person pose estimation with MoveNet, drawing on MobileNetV2, Feature Pyramid Networks, and CenterNet.

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

Nicholas Renotte

Sign Language Detection Tutorial with Tensorflow Object Detection

Build a real-time sign language detection model by collecting and labeling webcam images, configuring TensorFlow Object Detection, training with transfer learning, and using OpenCV.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

James Briggs

Multi-Class Language Classification With BERT in TensorFlow

Build a multi-class sentiment classifier with BERT and TensorFlow, covering text preprocessing, model training, saving and loading, and prediction.

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

Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

Aprenda a criar, aprimorar e treinar em larga escala modelos de machine learning com TensorFlow e Keras, usando pipelines de dados e Vertex AI.

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

Production Machine Learning Systems

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available