• Home
  • About

Tech It Yourself

This is place where I share what I have learnt

  • Home
  • Machine Learning
  • Github
  • About
Showing posts with the label number hidden unit in LSTMShow All
number hidden unit in LSTM What is the relationship between timestep and number hidden unit in LSTM?

What is the relationship between timestep and number hidden unit in LSTM?

Tech It Yourself October 14, 2019
Load More That is All

Follow us


Latest Posts

5/recent/post-list

Popular Posts

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

new data augmentation methods

Popular Posts

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

new data augmentation methods

What is a batch-norm in machine learning?

What is a batch-norm in machine learning?

Robot Operating System - ROS tutorial

Robot Operating System - ROS tutorial

UML Class Diagram Relationships, Aggregation, Composition

UML Class Diagram Relationships, Aggregation, Composition

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
Crafted with by TemplatesYard | Distributed by Blogger