MIT: Introduction to Deep Learning
Foundations of deep learning: perceptrons, neural networks, loss functions, backpropagation, optimization techniques, and strategies to prevent overfitting in neural network training.
Learning Steering for Parallel Autonomy
Explores end-to-end learning for parallel autonomy in self-driving cars, focusing on handling ambiguity, uncertainty estimation, and decision-making capabilities beyond reactionary control.
Computer Vision Meets Social Networks
Explore the intersection of computer vision and social networks, covering low-light enhancement, pose estimation, video attractiveness, classification, captioning, and natural language localization.
Sequence Modeling with Neural Networks
Explore sequence modeling with neural networks, focusing on RNNs, their challenges, and solutions like gated cells. Learn applications in music generation and machine translation.
Beyond Deep Learning - Learning+Reasoning
Explore advanced AI concepts beyond deep learning, focusing on integrating reasoning with learning for more robust and interpretable systems in this IBM Research lecture.
Deep Learning Limitations and New Frontiers
Explore deep learning limitations, new frontiers, and advancements in AI, including uncertainty estimation, adversarial attacks, and meta-learning, with insights on future developments and applications.
Convolutional Neural Networks
Explore deep learning for computer vision, covering CNNs, object detection, and image segmentation. Learn about architectures, applications, and impacts in various fields.
Introduction to Deep Learning - MIT 2018
Explore foundations of deep learning, including perceptrons, neural networks, loss functions, and optimization techniques. Gain insights into training challenges and strategies for effective model development.
How Data Science Works
Explore the fundamentals of data science, from data acquisition to machine learning, with practical insights and best practices for effective analysis and decision-making.
How K-Nearest Neighbors Works
Explore k-nearest neighbors algorithm for classification and regression, including key considerations like k value, feature scaling, and distance metrics.
How Convolution Works
Guided tour of 2D convolution for CNNs and image processing, covering element-wise operations, feature detection, kernels, and practical applications.
How Convolutional Neural Networks Work, in Depth
Comprehensive exploration of convolutional neural networks, covering their structure, operation, and training process, including key concepts like filtering, pooling, and backpropagation.
Getting Closer to Human Intelligence Through Robotics
Explore how robotics research can advance AI towards human-level intelligence by relaxing current assumptions and focusing on physical interaction and broader capabilities.
Recurrent Neural Networks and Long Short-Term Memory
Explore recurrent neural networks and LSTM, their applications in sequence prediction, and practical uses in machine learning and AI.
How Data Science Works
Explore the fundamentals of data science through plain English explanations, covering key concepts like feature engineering, machine learning, and deep learning without technical jargon.
Creating Watercolor & Anime 3D Textures in Substance Designer
Learn to create stunning watercolor and anime-style 3D textures using Substance Designer, Photoshop, and Unreal Engine 4. Master techniques for unique art styles and professional presentation.
Workflow Basics - Cleaning up Scan Data - Pixologic Joseph Drust - ZBrush 2020
Learn to clean up 3D scan data in ZBrush with techniques for importing, fixing holes, using morph targets, and applying textures. Enhance your digital sculpting skills for more efficient 3D modeling workflows.
Modeling Basics - Concept Building - Joseph Drust - ZBrush 2020
Learn essential 3D modeling techniques for concept building using ZBrush 2020. Master ZModeler, primitive shapes, Array Mesh, and Keyshot Bridge to create impressive architectural designs.
Modeling Basics - Booleans - Pixologic Joseph Drust - ZBrush 2020
Explore ZBrush 2020's modeling basics, focusing on Boolean operations, ZModeler, and IMM Boolean brushes. Learn subtractive techniques, navigation, and efficient workflows for 3D sculpting and mesh creation.
Listen Carefully - Speech-to-Speech Launch by Resemble AI
Explore Resemble AI's Speech-to-Speech technology launch, featuring an overview of capabilities, supported languages, and innovative features like Neural Audio Editing and Neural Fill.
GPT-3 Demos Using AI Synthetic Voices - Resemble AI
Explore GPT-3 integration with AI voices for creating realistic ad copy, conversations, and voiceovers. Learn best practices, use cases, and get answers to top questions about this innovative technology.