Neural Network Layers – Deep Learning Dictionary
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Frank
- May 16, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What are the layers that make up an artificial neural network?
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How AI Could Solve Our Renewable Energy Problem
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Frank
- May 13, 2022
- artificial intelligence
- electrical grid
- Machine Learning
- Machine Learning Algorithms
- Nvidia
- renewable energy
- save energy
- sense energy
- sense energy monitor
- solar panels
- Solar Power
- supervised and unsupervised learning
- undecided with matt ferrell
- what is machine learning
- what is machine learning and how does it work
- wind farm
- wind farms
- wind power
- wind turbine
This video takes a look at how machine learning is building a more renewable electrical grid with solar and wind power, and how it’s starting to impact us.
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NVIDIA’s Robot AI Finally Enters The Real World! 🤖
While separate disciplines, Robotics and AI go together like peanut butter and jelly. Two Minute Papers examines the paper “CLIPort: What and Where Pathways for Robotic Manipulation” in the following video.
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Deep Learning with TensorFlow – Course Reflection
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Frank
- May 9, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
Here’s the final video on DeepLizard’s Deep Learning with TensorFlow course.
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Accelerate AI/ML deployments with enterprise-grade MLOps
A growing number of organizations are integrating AI/ML workloads into cloud-native applications to deliver more insight and value from their data. However, there are a number of challenges in adopting, accelerating, and scaling ML operations (MLOps) across the enterprise in a predictable fashion. NVIDIA and Red Hat have been working with organizations globally to understand […]
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DRIVE Sim Scenario Reconstruction, Powered by Omniverse
Autonomous vehicle development requires the ability to reconstruct real world scenarios in simulation. Once the scenario is reconstructed, it can act as the foundation for many different variations to improve the AI driver. At #GTC22, NVIDIA Founder and CEO Jensen Huang showcased new AI-based tools for NVIDIA DRIVE Sim that accurately replicate driving scenarios. These […]
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Best Practices for Real-time Intelligent Video Analytics • Ekaterina Sirazitdinova • GOTO 2021
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Frank
- March 24, 2022
- AI
- AI Networks
- artificial intelligence
- Computer Science
- Data Science
- DeepStream
- DeepStream SDK
- Ekaterina Sirazitdinova
- GOTO
- GOTO (Software Conference)
- GOTO Conference
- GOTO Copenhagen
- GOTOcon
- GOTOcph
- GOTOpia
- Katja Sirazitdinova
- Machine Learning
- ML
- Nvidia
- Programming
- software engineering
- TensorRT
- Triton
- Triton Inference Server
- Videos for Developers
This presentation was recorded at GOTO Copenhagen 2021. Ekaterina Sirazitdinova – Data Scientist for Computer Vision, Video Analytics & Deep Learning at NVIDIA Abstract: Larger and more complex Vision AI networks enable better accuracy and precision since they are able to encode more information. This increase in size and complexity is, in turn, naturally associated […]
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AI-Driven, Physics-Based Character Animation
With adversarial reinforcement learning, physically simulated characters can be developed that automatically synthesize lifelike and responsive behaviors. A character is first trained to perform complex motor skills by imitating human motion data. Once the character has acquired a rich repertoire of skills, it can reuse those skills to perform new tasks in a natural, lifelike […]
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Cyberwarfare: Ukraine vs Russia – ThreatWire
ThreatWire is a weekly news journalism show covering cybersecurity topics for network admins, information security professionals, and consumers.
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NVIDIA AI Enterprise Expands Support in the Virtualized Data Center
Run AI on VMware with software optimized, certified, and supported by NVIDIA.
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