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
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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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Neural Network Weights – Deep Learning Dictionary
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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
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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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Deep Learning Models Using Keras Tutorial
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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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The Theoretical Aspects of Gradient Methods in Deep Learning
In this talk from Microsoft Research Asia, Jian Li of Tsinghua University explains Theoretical Aspects of Gradient Methods in Deep Learning by
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