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Showing posts with the label Independent-Component (IC) layerShow All
Batch Normalization and Dropout Paper: Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks

Paper: Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks

Tech It Yourself September 24, 2019
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Collection of points in Computer Vision

Collection of points in Computer Vision

Note 2: Linear regression - Python demos

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Principal Component Analysis PCA  using Singular Value Decomposition SVD

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Collection of points in Computer Vision

Collection of points in Computer Vision

Note 2: Linear regression - Python demos

Note 2: Linear regression - Python demos

Principal Component Analysis PCA  using Singular Value Decomposition SVD

Principal Component Analysis PCA using Singular Value Decomposition SVD

Visualize the heatmap - GradCAM - Keras

Visualize the heatmap - GradCAM - Keras

new data augmentation methods

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What is a batch-norm in machine learning?

What is a batch-norm in machine learning?

Robot Operating System - ROS tutorial

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UML Class Diagram Relationships, Aggregation, Composition

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Tags

  • all about docker
  • auc
  • Basis Function Regression
  • Batch Normalization and Dropout
  • batch-norm
  • contour
  • convolution
  • cost function
  • CUDA
  • Decision Trees
  • deep learning
  • digital image processing
  • Distributed training
  • docker essentials
  • docker tutorial
  • f1
  • Face Recognition
  • FaceNet
  • feature and feature detection
  • Feature Selection
  • Fourier Transform
  • Gaussian Mixture Models
  • Gaussian Naive Bayes
  • GPU
  • Gradient Accumulation
  • Gradient Checkpointing
  • Homogeneous Coordinates
  • Independent-Component (IC) layer
  • Information Entropy
  • K-Means Clustering
  • K-Nearest Neighbor
  • keras
  • keypoints
  • Layer-sequential unit-variance (LSUV) initialization
  • linear algebra
  • linear regression
  • logistic regression
  • machine learning
  • machine learning algorithms
  • mAP
  • matplotlib
  • mean Average Precision
  • Model averaging
  • model selection
  • MTCNN
  • Naive Bayes classification
  • newton method
  • normal equation
  • number hidden unit in LSTM
  • numpy
  • nvidia gpu
  • opencv
  • PCA
  • precision
  • Principal Component Analysis
  • Pseudo Labelling
  • Pyhon Modules
  • Pyhon Packages
  • pyplot
  • python numpy
  • Python Paths
  • Random Forests
  • recall
  • redis
  • regularization
  • Robot Operating System
  • roc
  • ROS
  • Shannon Entropy
  • Singular Value Decomposition
  • SNPE Quantization Algorithm
  • stereo camera
  • stereo vison
  • stochastic gradient descent
  • suport vector machine
  • SVD
  • SVM
  • tensorflow
  • UML Diagrams
  • virtual gpus
  • Virtualenv
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