Activation Functions – Deep Learning Dictionary
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Frank
- June 28, 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 activation functions within artificial neural networks?
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Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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Frank
- June 24, 2022
- AI
- anubis
- artificial intelligence
- Arxiv
- dall e 2
- dall e 2 vs graphic designer
- dalle
- dalle 2
- dalle2
- Deep Learning
- deep learning tutorial
- diffusion models
- explained
- generative models
- google imagen
- google parti
- google party
- google pathways
- image
- introduction to deep learning
- Machine Learning
- Neural Networks
- Paper
- parti
- what is deep learning
Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model’s outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests. Yannic explains the research paper. Time stamps: 0:00 – Introduction 2:40 – Example Outputs 6:00 – Model Architecture 17:15 – Datasets (incl. […]
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Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work. CORRECTIONS: The sine and cosine functions are actually applied to the embedding dimensions and time steps!
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AI Language Models & Transformers
Plausible text generation has been around for a couple of years, but how does it work – and what’s next? Rob Miles on Language Models and Transformers.
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Quantum-Enhanced Markov Chain Monte Carlo Simulations with David Layden
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Frank
- June 18, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
- quantum computing lecture
- quantum information
- quantum machine learning
- Qubit
- Research
- Research Seminar
- seminar
- seminar series
Here’s a talk by David Layden on Quantum-Enhanced Markov Chain Monte Carlo Abstract: Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quantum computers have recently been used to sample from complicated distributions that are hard to sample from classically, but which seldom […]
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Transformers, explained: Understand the model behind GPT, BERT, and T5
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Frank
- June 18, 2022
- AutoML
- automl transformer
- Bert
- Dale Markowitz
- GDS: Yes
- Google Cloud
- how do transformers work
- Machine Learning
- Making with Machine Learning
- Making with ML
- ML
- pr_pr: Google Cloud
- purpose: Educate
- series: Making with Machine Learning
- transformer
- transformer model
- transformer models
- Transformers
- transformers explained
- transformers machine learning
- transformers ml
- type: DevByte+
- understanding transformers
Curious how an ML model could write a poem or an op ed? Transformers can do it all. In this episode of Making with ML, Dale Markowitz explains what transformers are, how they work, and why they’re so impactful. Over the past few years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural language […]
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The Road to General AI • Danny Lange • GOTO 2021
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Frank
- June 16, 2022
- AI
- Artificial General Intelligence
- artificial intelligence
- Computer Science
- Danny Lange
- GOTO
- GOTO (Software Conference)
- GOTO AI Summit
- GOTO Conference
- GOTO Copenhagen
- GOTOcon
- GOTOcph
- GOTOpia
- Machine Learning
- ML
- Programming
- software development
- software engineering
- Tech
- Tech Channel
- Unity
- Videos for Developers
With recent news of a “sentient chatbot,” the topic of AGI is top of mind for me again. Danny Lange, SVP of AI and ML at Unity Technologies, presents this talk on the subject. ABSTRACT Senior vice president of machine learning and artificial intelligence at Unity Danny Lange will set the stage by introducing the […]
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Is This the Worst AI Ever?
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Frank
- June 13, 2022
- 4chan
- 4chan ai
- 4chan bot
- 4chan pol
- 4chan pol bot
- AI
- ai bias
- artificial intelligence
- Arxiv
- Deep Learning
- eleuther ai
- explained
- gpt 3
- gpt 4
- gpt 4chan
- gpt j
- gpt-3
- gpt-3 truthful
- gpt-4
- gpt-4chan
- gpt-j
- gpt-j-6b
- gpt4
- gpt4chan
- is ai truthful
- language model evaluation
- Machine Learning
- Natural Language Processing
- Neural Networks
- Paper
- seychelle
- seychelle bot
- seychelles
- truthful qa
- truthfulqa
- trutufulqa dataset
- Turing Test
GPT-4chan was trained on over 3 years of posts from 4chan’s “politically incorrect” (/pol/) board. (and no, this is not GPT-4) You can imagine what it learned. Maybe we need to be better people so that we can make sure our AI overlords will have better behavior to model.
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Quantum Simulations of Topological Majorana Modes with Oles Shtanko
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Frank
- June 10, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
- quantum computing lecture
- quantum information
- quantum machine learning
- Qubit
- Research
- Research Seminar
- seminar
- seminar series
Quantum Simulations of Topological Majorana Modes Abstract: Modern quantum devices can now outperform classical computers in physical simulations, which makes them an important tool for future physics research. As an example, I will focus on simulating the topological states of matter hosting Majorana modes — the exotic “half-electron” states. Observing Majorana modes in the lab […]
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