How To Learn Blazor In 2023
Tim Corey shows us how to learn Blazor. In this video, I will start by answering some of the commonly asked questions about Blazor. Then, we will look at the different flavors of Blazor and when to use each. After that, I will outline the order to learn Blazor in, I will go over the […]
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5 Mind-blowing Artificial Intelligence Tools
-
Frank
- December 30, 2022
- AI
- ai video editing
- analyze data
- artificial intelligence
- auto cutout
- cap cut
- capcut
- change voice
- chatGPT
- Computer
- Data
- Data Analysis
- Data Analytics
- discover
- Excel
- google sheets
- gpt
- help
- insight
- insights
- kevin
- kevin stratvert
- Microsoft Excel
- Models
- OpenAI
- PC
- photo
- remove background
- remove object
- remove object from photo
- sheets
- stratvert
- text models
- train model
- Training
- video editing
- Voice
- voice changers
- voicemod
Are you looking for ways to make your work easier, more efficient, and fun? Check out this video to learn about 5 unbelievable AI tools that will help you get the job done faster and better.
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Activation Functions – Deep Learning Dictionary
-
Frank
- December 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? Mandy from deeplizard explains.
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These 9 free courses are better than most paid for ones on Data Science & Machine Learning
Highlighted selection of free data science and machine learning courses.
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Intro to Natural Language Processing (NLP)
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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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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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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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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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