Neural Network Layers – Deep Learning Dictionary
-
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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Meta’s OPT 175B language model and DALL-E Mega is training
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Frank
- May 11, 2022
- AI
- artificial intelligence
- Arxiv
- coca
- dall-e
- dall-e mega
- dall-e mini
- dalle
- dalle 2
- Deep Learning
- deep rl course
- explained
- facebook ai
- gpt-3
- huggingface course
- huggingface rl course
- kilcher news
- Machine Learning
- machine learning news
- meta ai
- ml news
- ml news yannic
- mlnews
- Neural Networks
- openai clip
- openai davinci
- opt 175 b
- opt 175b meta
- Paper
- tortoise tts
Yannic provides us with an inside look of what’s happening in the ML world!
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The Weird and Wonderful World of AI Art (w/ Author Jack Morris)
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Frank
- May 9, 2022
- AI
- ai art
- ai art colab
- ai art generator
- aiart
- artificial intelligence
- Arxiv
- clip
- clip ai art
- clip art
- clip guided diffusion
- clip vqgan
- dall-e
- dalle
- Deep Dream
- Deep Learning
- deep learning art
- disco diffusion
- explained
- glide
- guided diffusion
- guided diffusion openai
- Machine Intelligence
- Machine Learning
- Neural Networks
- openai clip
- Paper
- picture generator
- rudall-e
- rudalle
- StyleGAN
- turbo diffusion
Since the release of CLIP, the world of AI art has seen an unprecedented level of acceleration in what’s possible to do. Whereas image generation had previously been mostly in the domain of scientists, now a community of professional artists, researchers, and amateurs are sending around colab notebooks and sharing their creations via social media. […]
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This AI Creates Infinite NFTs
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Frank
- May 9, 2022
- AI
- ai art
- ai created nft
- ai nft generator
- artificial intelligence
- Arxiv
- bored ape yacht club
- bored apes
- Deep Learning
- explained
- gan nft
- generative adversarial network
- goodfellow
- how to create nft
- Machine Learning
- machine learning nft
- Neural Networks
- nft gan
- nft generator
- opensea nft
- Paper
- Schmidhuber
- StyleGAN
- stylegan2
Yannic shows us how to build an AI that can create as many bored apes as we want. Fungibility for everyone, indeed.
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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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Exploring the LAION-5B: a 5 billion image-text-pairs dataset
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Frank
- May 2, 2022
- AI
- artificial intelligence
- Arxiv
- dall-e
- Deep Learning
- eleuther
- eleuther ai
- explained
- huggingface
- laion
- laion 400m
- laion 5b
- laion ai
- Machine Learning
- mini dall-e
- Neural Networks
- open clip
- open source clip
- open source dalle
- open source dataset
- open source machine learning
- openai clip
- openai clip dataset
- openai dalle
- Paper
- text image dataset
LAION-5B is an open, free dataset consisting of over 5 billion image-text-pairs. Today’s video is an interview with three of its creators. We dive into the mechanics and challenges of operating at such large scale, how to keep cost low, what new possibilities are enabled with open datasets like this, and how to best handle […]
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Deep Q-Network Solves Cart and Pole – Reinforcement Learning Code Project
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Frank
- March 28, 2022
- agent environment
- AI
- AlphaGo
- artificial intelligence
- artificial neural network
- Bellman equation
- CNN
- Deep Learning
- Deep Q-network
- DQN
- Education
- experience replay
- Machine Learning
- markov decision process
- MDP
- Neural Network
- OpenAI Five
- OpenAI Gym
- policy gradients
- policy network
- Python
- PyTorch
- Q-learning
- Q-value
- Reinforcement Learning
- replay memory
- SGD
- stochastic gradient descent
- Supervised Learning
- TensorFlow
- Tutorial
- Unsupervised Learning
In this episode, learn how to use a deep Q-network to solve the Cart and Pole environment.
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Recurrent Neural Networks Tutorial
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Frank
- March 14, 2022
- Deep Learning
- deep learning edureka
- deep learning tutorial
- deep learning using tensorflow
- edureka
- lstm neural network
- lstm python tutorial
- recurrent neural network based language model
- recurrent neural network explained
- recurrent neural network lstm
- recurrent neural network tutorial
- recurrent neural network tutorial tensorflow
- recurrent neural networks
- rnn lstm
- rnn tensorflow
- rnn tensorflow tutorial
- rnn tutorial
- tensorflow tutorial
This Edureka Recurrent Neural Networks tutorial video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs. The last section includes a use-case of LSTM to predict the next […]
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Computer Vision – Deep Learning Dictionary
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Frank
- March 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
What is computer vision? What terms and technologies are involved? Fortunately, this Deep Lizard video covers the basics.
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Narrow AI vs. AGI – Deep Learning Dictionary
-
Frank
- February 14, 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 is narrow artificial intelligence, and how is it different from artificial general intelligence?
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