Intro to Natural Language Processing (NLP)
-
Frank
- August 22, 2022
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- Clustering
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- Natural Language Processing
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sentiment Analysis
- Sequential model
- Supervised Learning
- TensorFlow
- tensorflow.js
- Text Classification
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
This course provides an introduction to the field of Natural Language Processing (NLP) with a focus on sentiment analysis and text classification using artificial neural networks. In this lesson, we’ll get introduced to the field of Natural Language Processing, otherwise known simply as NLP.
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Sigmoid Activation Function – Deep Learning Dictionary
-
Frank
- July 11, 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 the sigmoid activation function used in artificial neural networks?
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Open Data Hub – the origin story (part 2)
-
Frank
- July 6, 2022
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- DevOps
- Git
- Jupyter
- JupyterHub
- JupyterLab
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- ODH
- Open Data Hub
- OpenShift
- OpenShift Data Science
- Python
- PyTorch
- Red Hat
- S2i
- Source-to-image
- Spark
- TensorFlow
In part 2 of the Open Data Hub origin story, fellow Red Hatters Steven Huels and Sherard Griffin describe some of the technical challenges and growth of the Open Data Hub AI meta-project, evolving Elastic Search to multiple data discovery technologies. The evolution to a commercial service offering, Red Hat OpenShift Data Science is also […]
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Open Data Hub – the origin story (part 1)
-
Frank
- July 6, 2022
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- DevOps
- Git
- Jupyter
- JupyterHub
- JupyterLab
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- ODH
- Open Data Hub
- OpenShift
- OpenShift Data Science
- Python
- PyTorch
- Red Hat
- S2i
- Source-to-image
- Spark
- TensorFlow
Fellow Red Hatters Steven Huels and Sherard Griffin describe how the Open Data Hub meta-project grew from solving practical CI/CD build challenges to where it is today – providing an integrated blueprint stitching together over 20 open source AI tools for running large and distributed AI workloads on OpenShift. Part 1 of a 2 part […]
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Activation Functions – Deep Learning Dictionary
-
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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Transfer learning and Transformer models (ML Tech Talks)
-
Frank
- June 20, 2022
- Developer
- Developers
- GDS: Yes
- Google Developers
- how to use machine learning
- how to use ml
- Iulia Turc
- machine learning tech talks
- machine learning tutorial
- ml tutorial
- pr_pr: TensorFlow
- purpose: Educate
- series: ML Tech Talks
- TensorFlow
- tensorflow developer
- tensorflow developers
- the transformer
- Transfer Learning
- transformer models
- type: DevByte (deck cleanup 0-10min)
- what is machine learning
- what is ML
In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer.
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Neural Network Weights – Deep Learning Dictionary
-
Frank
- June 6, 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 weights that make up an artificial neural network?
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Quick to Production with Minimal MLOps with the Best of Spark and TensorFlow
In this session, learn how we can get deep learning and ml models with TensorFlow into production quickly right after prototyping. Using TensorFlow with big datasets in a distributed setting has been an issue for small teams like ours due to complicated MLOps code, but with what we cover in the talk, we could now […]
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Neural Network Nodes – Deep Learning Dictionary
-
Frank
- May 23, 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 nodes that make up an artificial neural network? Watch this video and find out.
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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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