AWS Rekognition Using Python 2022
Learn to implement AWS Rekognition with Python for image and video analysis. Covers object detection, facial analysis, and text recognition using deep learning technology.
Compiling SASS-SCSS with Gulp
Learn to compile SASS/SCSS using Gulp, covering Node installation, Gulp setup, Ruby integration, Bootstrap compilation, syntax highlighting, and image optimization techniques.
Amazon Rekognition with PHP
Learn to implement Amazon Rekognition's image analysis features using PHP, including label detection, facial recognition, and celebrity identification.
Build Mobile OCR Scanner App with Flutter
Learn to build an OCR scanner app for Android and iOS using Flutter and Google ML Vision, converting images to text with machine learning techniques.
Digital Signal Processing, 1975
Comprehensive introduction to analog and digital signal processing, covering applications in various fields. Gain practical skills through 20 video lectures led by a renowned expert.
Julia for Biologists - A Perspective on Speed, Abstraction, and Metaprogramming
Explore Julia's potential in biology: speed, abstraction, and metaprogramming for data analysis, modeling, and research. Learn practical examples and discover the Julia ecosystem for biologists.
PyTorch and the Journey in Open Source - Keynote by Soumith Chintala
Soumith Chintala discusses PyTorch's journey, principles, and ecosystem, exploring its development, community impact, and future directions in deep learning and open-source collaboration.
Tomographic Image Reconstruction with Julia
Explore Julia's capabilities for tomographic image reconstruction, focusing on large-scale inverse problems and matrix-free methods. Learn about package ecosystems for different imaging techniques.
Transformations - Composability and Linearity in Computational Thinking - Lecture 4
Explore composability and linearity in transformations, focusing on image processing applications and advanced Julia programming techniques for vector-valued functions and linear/nonlinear transformations.
Transformations and Automatic Differentiation in Computational Thinking - Lecture 3
Explore transformations and automatic differentiation in Julia, covering linear and non-linear transformations, function types, and applications in machine learning, with practical examples and visualizations.
Transforming Images and Image Processing Techniques - Lecture 2
Explore image transformation techniques using Julia, including downsampling, linear combinations, convolutions, and filters. Learn about complexity, GPUs, and data structures in computational thinking.
Introduction to Arrays and Images in Computational Thinking - Lecture 1
Explore computational thinking through image manipulation and array operations in Julia, with hands-on examples and an introduction to abstraction concepts.
Seam Carving: Live Coding Session - MIT 18.S191 Fall 2020 - Week 2
Live coding session demonstrating seam carving algorithm implementation in Julia, covering energy calculation, seam generation, and image manipulation techniques for content-aware image resizing.
Seam Carving and Dynamic Programming - Week 2 - MIT Fall 2020
Explore seam carving algorithm for intelligent image resizing, covering edge detection with gradients and optimal path finding using dynamic programming.
Convolutions in Image Processing - MIT 18.S191 Fall 2020 - Week 1
Explore image processing convolutions, from basic blurs to edge detection, using Julia. Learn about kernels, computational complexity, and connections to Fourier transforms.
Photoshop 2022 Crash Course - Tutorial for Complete Beginners
Comprehensive tutorial covering essential Photoshop skills for beginners, from basic tools to advanced techniques like masking, retouching, and adding effects.
Saving Lives Behind the Wheel - Artificial Intelligence and Computer Vision for Road Safety
Explore AI and computer vision's role in enhancing road safety through real-time edge-based deep learning systems, addressing challenges and leveraging technological trends to reduce traffic fatalities.
DataOps for the Modern Computer Vision Stack
Explore DataOps for computer vision, addressing key challenges and principles. Learn about pipeline implementation, data management, and future trends in modern CV stacks.
Introduction to Convolutional Neural Networks with TensorFlow
Learn to build and implement convolutional neural networks for image classification using TensorFlow. Gain hands-on experience in deep learning techniques for computer vision tasks.
JavaScript for Cancer Prevention Through Early Detection
Explore how JavaScript, TensorFlow.js, and React Native can enhance melanoma detection accuracy, aiding early skin cancer diagnosis and potentially saving lives through innovative technology.
Best Animation Exercise for Beginners - OpenToonz - How to Animate 2D Animation Class
Learn 2D animation fundamentals using OpenToonz. Practice spacing, timing, arcs, and more through a hands-on exercise. Ideal for beginners looking to develop essential skills and create smooth, engaging animations.