Evaluating DeepFace
An introduction to DeepFace Face Recognition with Tensorflow.
Vector Databases for AI Applications
An introduction to Weaviate DB for end-to-end AI applications.
DLIB Face Recognition
Detect faces in images and compare their feature vector to known entities
Audio Classification with Computer Vision
Training an YOLOv8 Classifier to Identify Audio Files
CVAT Semi-automatic and Automatic Annotation
CVAT supports supervised machine learning tasks pertaining to object detection, image classification, image segmentation and 3D data annotation.
Computer Vision Annotation Tool (CVAT) Introduction
CVAT supports supervised machine learning tasks pertaining to object detection, image classification, image segmentation and 3D data annotation.
YOLOv8 Nightshift
Training an YOLOv8 Object Tracker for Day/Night Cameras
YOLOv8 License Plate Detection
Using the YOLOv8 Object Tracker in Combination with EasyOCR
Scikit-Learn ML Model Explainability
SHAP is a game theoretic approach to explain the output of any machine learning model.
Using Tensorflow Models in OpenCV
Using Tensorflow models in OpenCV to perform semantic segmentations on images using the Mask-RCNN model.
YOLOv8 Image Classifier
I-know-flowers Image Classifier YOLOv8 Model Comparison
Detectron Object Detection with OpenImages Dataset (WIP)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Instance Segmentation with PyTorch (Mask RCNN)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Image Segmentation with PyTorch (Faster RCNN)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Image Segmentation with PyTorch (RCNN)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Image Segmentation with PyTorch
Food item segmentation from images of the Tray Food Segmentation dataset
Containerized PyTorch Dev Workflow
Develop your PyTorch models inside the official PyTorch container image.
Tensorflow Image Classifier - Model Evaluation
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - Xception
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - ViT
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - NASNetMobile
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - MobileNetV3Small
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - MobileNetV3Large
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - MobileNetV2
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - InceptionV3
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - EfficientNetV2S
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - EfficientNetV2B0
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - Data-efficient Image Transformers
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - Data Pre-processing
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow Image Classifier - Introduction
Blue print image classifier using Tensorflow and Keras Applications pre-trained models
Tensorflow VITs
ViT models apply the Transformer architecture with self-attention to sequences of image patches, without using convolution layers.
Human Emotion Detection with Tensorflow
Create a TF Image Classifier that can distinguish between different human emotion based on portrait photos.
Working with ONNX Models
Open Neural Network Exchange (ONNX)
Introduction to Caffe2
Deep Learning Framework with Python for flexibility and C++ for speed.
SQL in Data Science - Machine Learning
Cheat Sheet using Psycopg2 to interact with PostgreSQL Databases
SQL in Data Science - Slightly more Advanced Queries
Cheat Sheet using Psycopg2 to interact with PostgreSQL Databases
SQL in Data Science - The Basics using Python
Cheat Sheet using Psycopg2 to interact with PostgreSQL Databases
Detection of Exoplanets using Transit Photometry
Exoplanets are the planets found outside of the solar system. When a planet passes in front of a star, the brightness of that star as observed by us becomes dimmer depending on the size of the planet. The data we observe will show a dip in flux if a planet is transiting the star we are observing.
(Re) Introduction to Tensorflow Natural Language Processing
Using Tensorflow to classify Disaster Tweet.
3D Image Classification
Learn how to train a 3D convolutional neural network (3D CNN) to predict presence of pneumonia.
Dimensionality Reduction for Image Segmentation
Use Manifold Learning and the LD Analysis to Visualize Image Datasets.
Fisher Linear Discriminant Analysis (LDA)
LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.
Isometric Mapping (ISOMAP)
Non-linear dimensionality reduction through Isometric Mapping
Multidimensional Scaling (MDS)
Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.
tStochastic Neighbor Embedding (t-SNE)
t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map.
Locally Linear Embedding (LLE)
LLE is an unsupervised learning algorithm that computes low dimensional, neighborhood preserving embeddings of high dimensional data.
Principal Component Analysis (PCA)
To aid visualization of the structure of a dataset, the dimension must be reduced in some way.
Tensorflow 2 - Unsupervised Learning
Generative Adverserial Networks for Image Data Generation
Tensorflow 2 - Unsupervised Learning
Use Autoencoders to Increase Feature Resolution
Tensorflow 2 - Unsupervised Learning
Use Autoencoders to Reduce Dimensionality and Feature Discovery
Tensorflow 2 - Transfer Learning
Scale a pre-trained model to fit your needs
Tensorflow 2 - Transfer Learning
Fine-tuning Pre-trained Models
Tensorflow 2 - Transfer Learning
Using a Pre-trained Model to Extract Features
Tensorflow 2 - Convolutional Neural Networks
Computer Vision for Multiclass Image Classifications
Tensorflow 2 - Convolutional Neural Networks
Computer Vision for Binary Image Classifications
Tensorflow 2 - Neural Network Classifications
1 item
Tensorflow 2 - Neural Network Classification
Model Evaluation and Performance Improvement
Tensorflow 2 - Neural Network Classification
Working with a non-linear dataset and activation functions
Tensorflow 2 - Neural Network Regression
Data pre-processing - normalization and feature-scaling
Tensorflow 2 - Neural Network Regression
Working with the medical cost dataset
Tensorflow 2 - Neural Network Regression
Optimizing model performance
Tensorflow 2 - Neural Network Regression
Visualizing Models and Evaluating Model Performance
Tensorflow 2 - Neural Network Regression
Building a Regression Model and Improving it's Performance
Tensorflow 2 - An (Re)Introduction 2023 (3)
Matrix multiplications, Squeeze, One-hot and Numpy
Tensorflow 2 - An (Re)Introduction 2023 (2)
Tensor Indexing, Expanding and Manipulations
Tensorflow 2 - An (Re)Introduction 2023
Tensor Constants, Variables and Attributes
Keras for Tensorflow - VGG16 Network Architecture
An example convolutional neural network is the VGG16 Architecture.
Keras for Tensorflow - Recurrent Neural Networks
Recurrent Neural Networks are widely used to work with sequence data such as time series or natural language.
Keras for Tensorflow - Convolutional Neural Networks
Convolutional Neural Networks are ideal for Computer Vision tasks.
Keras for Tensorflow - Artificial Neural Networks
Building a deep neural network using the MNIST dataset.
YOLOv8 with AS-One
A Modular Libary for YOLO Object Detection and Object Tracking.
Keras for Tensorflow - An (Re)Introduction 2023
Keras is built on top of TensorFlow 2 and provides an API designed for human beings.
SciKit Wine Quality
Predicting Wine Quality with Several Classification Techniques using SciKit Learn.
OpenCV Count My Money
Differentiate Objects based on their Contour and Colour with cvZone.
YOLOv7 to Tensorflow
Converting a YOLOv7 PyTorch Model to Tensorflow (Lite)
YOLOv7 Label Conversion
Transferring PASCAL VOC labels to the YOLO format
YOLOv7 Training with Custom Data
Use your Custom Dataset to train YOLOv7
MiDaS Depth Vision
MiDaS computes relative inverse depth from a single image.
YOLOv7 Introduction
Getting started with object detection in YOLOv7
Recurrent Neural Networks
Generate text using a character-based RNN
Deep Convolutional Generative Adversarial Network
Use Adversarial Networks to generate Images
Tensorflow Downsampling
Using Representation Learning to Downsample Images
Tensorflow Deep Dream
DeepDream is an experiment that visualizes the patterns learned by a neural network.
Tensorflow Representation Learning
Build a Denoising Autoencoder in Tensorflow using the mnist Digits Dataset
Tensorflow Hub
TensorFlow Hub is a repository of trained machine learning models.
Tensorflow Transfer Learning
Transfer learning is a machine learning technique in which intelligence from a base ann is being transferred to a new network as a starting point.
Tensorflow Image Classification
The CIFAR-10 is a labeled subset of the 80 million tiny images dataset that can be directly downloaded using Keras.
Breast Histopathology Image Segmentation Part 6
Running Predictions
Breast Histopathology Image Segmentation Part 5
Evaluate the performance of your trained model
Breast Histopathology Image Segmentation Part 4
Train our model to fit the dataset
Breast Histopathology Image Segmentation Part 3
Model creation based on a pre-trained and a custom model
Breast Histopathology Image Segmentation Part 2
Balancing skewed datasets and data augmentation
Breast Histopathology Image Segmentation Part 1
Data Inspection and Pre-processing
Deep Docker on Arch
The NVIDIA Container Toolkit run GPU accelerated Docker containers
Face Restoration with GFPGAN
Victoria Harbour, Hongkong
Super Resolution with Real-ESRGAN
Victoria Harbour, Hongkong
Super Resolution with ESRGAN
Victoria Harbour, Hongkong
Deep Audio
Deep Audio Classifier with Tensorflow
Yolo App - YOLOv5 Data Preparation
Shenzhen, China
Yolo App - Flask Web Application
Shenzhen, China
Yolo App - Tesseract Optical Character Recognition
Shenzhen, China
Yolo App - Pipeline Predictions
Shenzhen, China
Yolo App - Train a Model with Tensorflow
Shenzhen, China
Yolo App - Data Collection
Shenzhen, China
OpenCV Optical Flow Algorithm for Object Tracking
Shenzhen, China
OpenCV CAMshift Algorithm for Object Tracking
Shenzhen, China
OpenCV Meanshift Algorithm for Object Tracking
Shenzhen, China
OpenCV Object Detection and Tracking
Shenzhen, China
OpenCV Object Tracking
Shenzhen, China
OpenCV Face Detection and Privacy
Shenzhen, China
OpenCV Image Objects
Shenzhen, China
OpenCV Image Operations
Shenzhen, China
OpenCV, Streams and Video Files
Shenzhen, China
OpenCV and Images
Shenzhen, China
Introduction into FB Prophet
Shenzhen, China
Tensorflow.js React App
Mong Kok, Hongkong
Tensorflow2 Model Zoo
Mong Kok, Hongkong
Tensorflow2 Crash Course - Part V
Mong Kok, Hongkong
Tensorflow2 Crash Course - Part IV
Mong Kok, Hongkong
Tensorflow2 Crash Course - Part III
Mong Kok, Hongkong
Tensorflow2 Crash Course - Part II
Mong Kok, Hongkong
Tensorflow Crash Course - Part I
1 item
OpenCV Crash Course Part II
Shenzhen, China
OpenCV Crash Course Part I
Shenzhen, China
License Plate Recognition with YOLOv4, OpenCV and Tesseract
Shenzhen, China
Installing YOLOv4 with Anaconda
Shenzhen, China
Streamlit user interface for openCV/Mediapipe face mesh app
Victoria Harbour, Hongkong
spaCy NER Predictions
Victoria Harbour, Hongkong
spaCy NER on Arch Linux
Victoria Harbour, Hongkong
Introduction to Keras
Shanghai, China
Tesseract OCR on Arch Linux
Victoria Harbour, Hongkong
Introduction to TensorFlow 2 Beta
Shanghai, China
Machine Learning with SciKit Learn
Shenzhen, China