PyTorch Tutorials - Complete Beginner Course
Comprehensive guide to PyTorch: from basics to advanced concepts, covering tensors, neural networks, and model deployment. Ideal for beginners seeking practical skills.
PyTorch - Deep Learning with Python
Explore deep learning and neural networks using Python and PyTorch, covering data handling, model building, training, and analysis, with a focus on convolutional networks and GPU acceleration.
Pytorch Tutorial
Learn PyTorch fundamentals, from installation to advanced applications. Master tensors, backpropagation, and deep learning techniques for real-world data science projects.
PyTorch for Python 3.5
Learn PyTorch fundamentals, from linear models to advanced CNNs. Master gradient descent, back-propagation, regression, and neural network architectures for efficient deep learning implementation.
Zero to Hero - A Comprehensive Course to Building an Alexa Skill
Learn to build an Alexa Skill from scratch, covering internationalization, error handling, slots, persistence, APIs, Alexa Presentation Language, and publishing using the ASK CLI.
Hands-On Building Alexa Skills Tutorial
Learn to create Alexa Skills using Voiceflow and Node.js. Master voice UI design, configure functionality, and deploy custom voice commands for Alexa devices. Develop, test, and publish skills for business growth.
OSINT Training
Comprehensive OSINT training covering domain analysis, threat detection, reconnaissance tools, search engine mastery, and network scanning techniques for enhanced cybersecurity skills.
OSINT
Comprehensive OSINT techniques covering tools like Maltego, KISMET, and Tor for information gathering, network analysis, and maintaining anonymity in digital investigations.
Deep Learning
Explore advanced image analysis techniques using ArcGIS Pro and arcgis.learn, including feature classification, object extraction, and point cloud processing for geospatial applications.
Deep Learning Neural Network Tutorials
Comprehensive tutorials on deep learning and neural networks, covering key concepts, architectures, and practical implementation using TensorFlow and Google Colab.
Machine Learning & Deep Learning Projects
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
Natural Language Processing
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. It will cover Tokenization, Stop Words and Word Embedding.
YOLO V4 Object Detection Crash Course
Learn to implement YOLO v4 for object detection: from image labeling and dataset creation to model training and custom object detection, with hands-on coding and practical applications.
The Fun and Easy Guide to Machine Learning - Tutorials
Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.
Practical Augmented Reality Course
Learn to build 6 AR apps using ARCore and Unity, covering motion tracking, light estimation, hit testing, and advanced features like portals and multiplayer.
YOLO V3 - Robust Deep Learning Object Detection Tutorials
Learn to implement YOLO v3 for robust object detection, from web scraping and dataset annotation to model training and deployment, using OpenCV and Python.
Mask R-CNN - Practical Deep Learning Instance Segmentation Tutorials
Learn to implement and train Mask R-CNN for instance segmentation using OpenCV and Python, covering installation, real-time applications, and custom object detection like potholes.
Pose Estimation - Deep Learning Using OpenPose Tutorials
Learn to implement pose estimation using OpenPose, covering installation, people counting, fall detection, yoga pose recognition, and more. Gain practical skills in computer vision and deep learning applications.
Detectron2 Tutorials
Learn object detection and segmentation using Detectron2, covering installation, data preparation, and implementation with OpenCV and Python for computer vision applications.
TensorFlow Computer Vision Tutorials - OpenCV Python
Learn essential computer vision techniques using TensorFlow and MediaPipe. Build real-time applications for face detection, pose estimation, hand tracking, and object detection with Python and OpenCV.
YOLOR Object Detection Tutorials - You Only Learn One Representation
Learn advanced object detection techniques with YOLOR, covering implementation, optimization, and real-world applications in computer vision and AI. Gain practical skills for various industries.