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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How DeepConsensus works
From Maria Nattestad’s work on the Genomics team in Google Health AI comes a video describing how DeepConsensus works to increase the quality of PacBio sequencing data using deep learning.
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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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Deep Learning with TensorFlow – Course Reflection
-
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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Deep Learning Models Using Keras Tutorial
-
Frank
- April 20, 2022
- cnn tutorial
- convolutional neural network tutorial
- deep learning training
- deep learning tutorial
- edureka
- keras example
- keras explained
- keras install
- keras layers tutorial
- keras model tutorial
- keras neural network tutorial
- keras python
- keras tensorflow tutorial
- keras tutorial
- keras tutorial cnn
- keras tutorial deep learning
- keras tutorial for beginners
- keras tutorial image classification
- keras tutorial python
- keras tutorial tensorflow
This Edureka Tutorial on “Keras Tutorial” provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case. Topics Covered : 00:00 Introduction 00:30 Agenda 01:12 What is Keras 01:53 Who Makes Keras 02:55 What Makes Keras Special 04:08 Keras User Experience 05:04 Multi-Backend & Multi-Platform 06:55 Keras Models 09:03 […]
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Deep Learning Dictionary – Course Introduction
-
Frank
- January 31, 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
This is a lightweight crash course containing bite-sized, practical and intuitive explanations for the most common terms and concepts in the field of deep learning. I’ve always admired the work that the Deep Lizard team has been doing.
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PyTorch and Monai for AI Healthcare Imaging – Python Machine Learning Course
Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation. Code: https://github.com/amine0110/Liver-Segmentation-Using-Monai-and-PyTorch Course Contents: (0:00:00) Introduction (0:02:11) What is U-Net (0:13:21) Software Installation (0:22:35) […]
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