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The Full Stack

Introduction to Deep Learning - Full Stack Deep Learning - March 2019

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Comprehensive introduction to AI and deep learning, covering key concepts, applications, and historical context. Explores data processing, computational requirements, and course structure.
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16 Lesons
26 minutes
On-Demand
Free-Video
University of Central Florida

Taskonomy - Disentangling Task Transfer Learning

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Explore task transfer learning, higher-order transfers, and task-specific networks. Discover global taxonomies, evaluate computed structures, and assess generalization to novel tasks.
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11 Lesons
31 minutes
On-Demand
Free-Video
University of Central Florida

Fast Is Better Than Free: Revisiting Adversarial Training - CAP6412 Spring 2021

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Explore adversarial training techniques, comparing PGD with newer methods. Learn about technical contributions, experimental results, and implications for machine learning security.
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12 Lesons
34 minutes
On-Demand
Free-Video
University of Central Florida

Computer Vision: Classification and Object Recognition - Lecture 11

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Explore computer vision classification techniques, including object recognition, image classification, and machine learning frameworks. Learn about nearest neighbor and linear classifiers.
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17 Lesons
47 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Neural Networks for Computer Vision - Part I

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Introduction to neural networks for computer vision, covering key concepts like pixel representation, feature extraction, and image classification. Explores biological inspiration and computational implementation of neural activation functions.
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16 Lesons
30 minutes
On-Demand
Free-Video
University of Central Florida

Evaluating Neural Network Robustness - Targeted Attacks and Defenses

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Explore neural network robustness evaluation, including targeted attacks, metrics, and defense strategies. Learn about FGS, SMA, and new approaches for assessing and improving AI system security.
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13 Lesons
20 minutes
On-Demand
Free-Video
Broad Institute

Meaningful Signals Within Deep Learning Models for Biology - Primer and Meeting

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Explore deep learning models in biology, from curating meaningful pre-training data to disentangling experimental noise, enhancing performance in biomedical imaging and high-throughput microscopy experiments.
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3 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Python Simplified

Inference with Torch-TensorRT Deep Learning Prediction for Beginners - CPU vs CUDA vs TensorRT

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Accelerate deep learning inference using Torch-TensorRT. Compare CPU, CUDA, and TensorRT performance with ResNet50 for image classification. Hands-on tutorial covers setup, implementation, and benchmarking.
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24 Lesons
36 minutes
On-Demand
Free-Video
James Briggs

AlexNet and ImageNet Explained

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Explore the revolutionary AlexNet CNN and ImageNet dataset, their impact on deep learning, and practical implementation using PyTorch for image classification tasks.
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11 Lesons
36 minutes
On-Demand
Free-Video
1littlecoder

Zero-Shot Image Classification with OpenAI's CLIP Model

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Explore OpenAI's CLIP model for zero-shot image classification, demonstrating its ability to predict relevant text for images using natural language instructions without task-specific training.
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1 Lesons
21 minutes
On-Demand
Free-Video
Simons Institute

Towards Understanding Transfer Learning with Applications to Medical Imaging

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Explore transfer learning in medical imaging, focusing on deep learning applications, performance evaluation, and feature similarity analysis using CCA. Insights on ImageNet models and chest X-rays included.
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12 Lesons
46 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Artificial Intelligence: Success, Limits, Myths and Threats - Lecture 1

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Explore AI's successes, limitations, and societal impact. Delve into machine learning, neural networks, and the future of AI. Gain insights on scientific intelligence and ethical considerations.
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69 Lesons
1 hour 48 minutes
On-Demand
Free-Video
Fields Institute

Premonitions of Public Data for Private ML

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Explore how public data pre-training enhances private machine learning, examining its impact on accuracy, zero-shot learning, and the future of privacy-preserving AI techniques.
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21 Lesons
29 minutes
On-Demand
Free-Video
Meta

Analysis of Large-Scale Visual Recognition - Bay Area Vision Meeting

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Explore large-scale visual recognition challenges, focusing on IMAGENET competitions, object classification, localization techniques, and advancements in computer vision for diverse object classes.
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16 Lesons
40 minutes
On-Demand
Free-Video
Society for Neuroscience

Dialogues Between Neuroscience and Society - AI and Machine Learning's Impact on Human Experience

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Pioneering AI expert discusses transformative potential of machine learning, emphasizing ethical stewardship to augment human experience and serve diverse global populations.
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1 Lesons
1 hour 33 minutes
On-Demand
Free-Video
Paul G. Allen School

Fast and Accurate Deep Neural Networks Training

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Exploring LARS and LAMB optimizers for scaling deep learning on supercomputers, enabling faster training and higher accuracy in AI applications across various industries.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Paul G. Allen School

Do ImageNet Classifiers Generalize to ImageNet? - Analyzing ML Progress and Challenges

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Analyzing ImageNet classifiers' generalization, exploring overfitting and distribution shift in ML benchmarks, and addressing robustness issues like adversarial examples to improve machine learning reliability.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
ACM SIGPLAN

Architecture-Preserving Provable Repair of Deep Neural Networks

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Explore architecture-preserving V-polytope provable repair of deep neural networks. Learn about a novel approach that guarantees specification satisfaction while preserving DNN architecture, supporting various layers and activation functions.
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1 Lesons
21 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Exploring Shallow Architectures for Image Classification

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Explore shallow architectures for image classification, focusing on Scattering Networks and their potential compared to deep CNNs. Examine geometric arguments in deriving competitive representations.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning Vision Transformer for Retina Image Classification - Inference on Azure ML AKS

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Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and deploy on Azure ML with AKS for managed inference.
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1 Lesons
37 minutes
On-Demand
Free-Video
Data Science Festival

Introduction to Computer Vision with CNNs

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Explore computer vision using CNNs and transfer learning. Learn practical steps for CNN training, including activation functions, and discover applications in image quality assessment and feature extraction.
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1 Lesons
36 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Integración de MLNet Framework y TensorFlow en C# para Clasificación de Imágenes

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Integra MLNet de Microsoft con TensorFlow para clasificación de imágenes en C#. Aprende a utilizar el modelo ImageNet en aplicaciones prácticas.
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1 Lesons
41 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft ML.NET Framework Integration with TensorFlow for Computer Vision Classification

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Explore MLNet and TensorFlow integration in C# for CV classification using Imagenet model. Hands-on demo with practical code examples.
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1 Lesons
40 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Diffusion Models Generate Useful Synthetic Images

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Explore privacy-preserving synthetic image generation using diffusion models. Learn techniques for fine-tuning pre-trained models to achieve state-of-the-art results on CIFAR-10 and Camelyon17 datasets.
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1 Lesons
41 minutes
On-Demand
Free-Video
Neural Magic

How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP

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Explore sparse models' transfer performance and efficiency gains in image and language tasks, outperforming dense models even at high sparsities.
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1 Lesons
50 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Elucidating the Design Space of Diffusion-Based Generative Models

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Explore advancements in diffusion-based generative models, including improved sampling, training, and score network preconditioning. Learn about state-of-the-art results and modular design changes for enhanced efficiency and quality.
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1 Lesons
53 minutes
On-Demand
Free-Video
VinAI

The Lottery Ticket Hypothesis for Gigantic Pre-Trained Models

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Explore the lottery ticket hypothesis in large pre-trained models, uncovering efficient subnetworks for transfer learning in NLP and computer vision tasks.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video