Introduction to Deep Learning - Episode 34
Gentle introduction to deep learning concepts and practical implementation, featuring expert insights, live coding demo, and Q&A on various AI topics and applications.
Introduction to RunwayML
Explore machine learning models with RunwayML in this comprehensive live stream. Learn installation, generative painting, PoseNet, StyleGAN, and more through hands-on demonstrations and Q&A.
New Capabilities in Form Recognizer and PyTorch in Visual Studio Code - Episode 6
Explore new Form Recognizer capabilities for efficient document processing and learn about PyTorch integration in Visual Studio Code to enhance machine learning development workflows.
What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Explore Azure Cognitive Search's semantic capabilities, PyTorch frameworks, and a Rock Paper Scissors project in this informative session covering AI advancements and practical applications.
What's New with Translator - Document Translation Feature
Explore new Translator features, including document translation in batch. Learn about upcoming AI Show episodes and dive into Seth's Rock, Paper, Scissors project.
Dynamical Systems
Explore advanced techniques in dynamical systems analysis, including SINDy, Koopman theory, and deep learning applications for modeling complex nonlinear systems.
Data-Driven Dynamical Systems with Machine Learning
Explore modern machine learning methods for modeling complex dynamical systems from data. Learn data-driven control techniques and apply them to various fields of science and engineering.
Data Science Applications - Tutorial for Beginners
Explore data science applications across domains, covering machine learning, deep learning, and textual data analysis. Learn key skills and techniques used in industry scenarios.
How to Create a Deepfake Video - Deepfake Tutorial for Beginners Using Python - Great Learning
Learn to create deepfake videos using Python, exploring the technology's workings, requirements, and popularity. Includes a practical demonstration and discusses ethical implications of this AI-driven technique.
Scaling ML Workloads with PyTorch
Explore techniques for scaling machine learning workloads with PyTorch, including distributed training, memory optimization, and profiling tools for large-scale model development.
AI Show Live - Azure Form Recognizer, Deep Learning Container with PyTorch and AzureML
Explore Azure Form Recognizer, PyTorch containers, and ONNX Runtime optimizations in this comprehensive livestream featuring demos, Q&As, and expert insights on cutting-edge AI technologies.
Neural Networks Examples in MATLAB
Explore practical applications of neural networks in MATLAB, including image processing, classification, and prediction tasks using various deep learning architectures.
Machine Learning Tutorial Python - Machine Learning for Beginners
Comprehensive tutorial covering machine learning basics, algorithms, and projects using Python libraries. Includes deep learning, neural networks, and advanced topics for beginners to intermediate learners.
Machine Learning with Python Tutorials
Explore AI, machine learning, and deep learning concepts, including linear regression models and practical applications like temperature estimation and virus prediction.
Introduction to STM32Cube.AI
Explore STM32CubeMX and X-Cube-AI tools for implementing Neural Networks on STM32 devices, focusing on the STM32L4 family and creating basic embedded systems.
Deep Learning With Tensorflow 2.0, Keras and Python
Comprehensive deep learning series covering neural networks, CNNs, RNNs, and advanced topics using TensorFlow 2.0, Keras, and Python. Includes hands-on projects and practical applications.
Deep Learning with Keras - Python
Explore deep learning concepts and implement models using Keras in Python. Learn about neural networks, CNNs, RNNs, LSTM, and more for practical applications like chatbots.
Python Deep Learning Neural Network API
Learn to build, train, and deploy neural networks using Keras API. Covers data preprocessing, CNNs, transfer learning, and model deployment techniques for both front-end and back-end applications.
Tensorflow, Pytorch and OpenCV Setup with CUDA
The series covers settingup tensorflow with and without CUDA and contains the basics of jupyter notebook.
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.