SHEPHEXD
CAN MACHINES THINK LIKE HUMANS?
Development
13 posts
- Design Pattern (1) - Introduction
- 밑바닥부터 시작하는 DevOps 생존기(3) - Docker Compose
- 밑바닥부터 시작하는 DevOps 생존기(2) - Docker
- 밑바닥부터 시작하는 DevOps 생존기(1) - Introduction
- Debugging C++ with Visual Studio Code
- 뱅크샐러드 텍사스 홀덤
- tensorflow GPU install (Ubuntu 18.04 LTS)
- How to use git
- tensorflow GPU install (Ubuntu 16.04 LTS)
- Algorithm(2) - Data Structure
- Algorithm(1) - Introduction and Sorting
- 정규표현식(Regular Expression)
- Hadoop Introduction - install
Python
25 posts
- Journey of LinchFin(2) - AssetNetwork
- Machine Learning Asset Allocation with python - Hierarchcial Risk Parity
- Deep learning(14) - Introduction to word embedding
- Deep learning(13) - Sequence Model
- Deep learning(12) - ResNets
- Deep learning(11) - Convolutional Neural Network
- 현대포트폴리오 이론 기반의 분산투자 with python
- Deep learning(10) - Error analysis
- Deep learning(9) - Introduction to ML strategy
- Deep learning(8) - Batch Normalization
- Deep learning(7) - Optimization Algorithms
- Deep learning(6) - Practical aspect of Deep learning
- Deep learning(5) - Deep L-neural network
- Deep learning(4) - Back propagation
- Deep learning(3) - Activation function
- Deep learning(2) - Logistic regression
- Deep learning(1) - Introduction to Deep learning
- 뱅크샐러드 텍사스 홀덤
- Machine learning(3) - Overfitting
- Machine learning(2) - Logistic regression
- Machine learning(1) - Linear regression
- PyCUDA Mutli GPU multiplication
- Project Euler - problem1~50
- Python coding
- 정규표현식(Regular Expression)
Mathematics
8 posts
Machine learning
29 posts
- Deep learning(14) - Introduction to word embedding
- Deep learning(13) - Sequence Model
- Deep learning(12) - ResNets
- Deep learning(11) - Convolutional Neural Network
- Deep learning(10) - Error analysis
- Deep learning(9) - Introduction to ML strategy
- Deep learning(8) - Batch Normalization
- Deep learning(7) - Optimization Algorithms
- Deep learning(6) - Practical aspect of Deep learning
- Deep learning(5) - Deep L-neural network
- Deep learning(4) - Back propagation
- Deep learning(3) - Activation function
- Deep learning(2) - Logistic regression
- Deep learning(1) - Introduction to Deep learning
- Tensorflow - How to use
- Machine learning(11) - Recommendation system
- Machine learning(10) - Anomaly detection
- Machine learning(9) - PCA(Principal Component Analysis)
- Machine learning(8) - K-means Clustering
- Machine learning(7) - Debugging algorithm
- Machine learning(6) - SVM with kernel
- Machine learning(5) - SVM
- Machine learning(4) - Neural network
- Machine learning(3) - Overfitting
- Machine learning(2) - Logistic regression
- Machine learning(1) - Linear regression
- Reinforcement learning(1)-Nondeterministic-Qlearning
- Reinforcement learning(1)-Qlearning
- Least square method
Linear algebra
10 posts
Matlab
3 posts
Algorithm
8 posts
Tensorflow
30 posts
- Deep learning(14) - Introduction to word embedding
- Deep learning(13) - Sequence Model
- Deep learning(12) - ResNets
- Deep learning(11) - Convolutional Neural Network
- Deep learning(10) - Error analysis
- Deep learning(9) - Introduction to ML strategy
- Deep learning(8) - Batch Normalization
- Deep learning(7) - Optimization Algorithms
- Deep learning(6) - Practical aspect of Deep learning
- Deep learning(5) - Deep L-neural network
- Deep learning(4) - Back propagation
- Deep learning(3) - Activation function
- Deep learning(2) - Logistic regression
- Deep learning(1) - Introduction to Deep learning
- Tensorflow - How to use
- Machine learning(11) - Recommendation system
- Machine learning(10) - Anomaly detection
- Machine learning(9) - PCA(Principal Component Analysis)
- Machine learning(8) - K-means Clustering
- Machine learning(7) - Debugging algorithm
- Machine learning(6) - SVM with kernel
- tensorflow GPU install (Ubuntu 18.04 LTS)
- Machine learning(5) - SVM
- Machine learning(4) - Neural network
- Machine learning(3) - Overfitting
- Machine learning(2) - Logistic regression
- Machine learning(1) - Linear regression
- Reinforcement learning(1)-Nondeterministic-Qlearning
- tensorflow GPU install (Ubuntu 16.04 LTS)
- Reinforcement learning(1)-Qlearning
Reinforcement learning
2 posts
OpenAI gym
2 posts
C++
3 posts
Computer vision
5 posts
Robotics
3 posts
Neural network
15 posts
- Deep learning(14) - Introduction to word embedding
- Deep learning(13) - Sequence Model
- Deep learning(12) - ResNets
- Deep learning(11) - Convolutional Neural Network
- Deep learning(10) - Error analysis
- Deep learning(9) - Introduction to ML strategy
- Deep learning(8) - Batch Normalization
- Deep learning(7) - Optimization Algorithms
- Deep learning(6) - Practical aspect of Deep learning
- Deep learning(5) - Deep L-neural network
- Deep learning(4) - Back propagation
- Deep learning(3) - Activation function
- Deep learning(2) - Logistic regression
- Deep learning(1) - Introduction to Deep learning
- Machine learning(4) - Neural network
Anomaly detection
2 posts
Deep learning
14 posts
- Deep learning(14) - Introduction to word embedding
- Deep learning(13) - Sequence Model
- Deep learning(12) - ResNets
- Deep learning(11) - Convolutional Neural Network
- Deep learning(10) - Error analysis
- Deep learning(9) - Introduction to ML strategy
- Deep learning(8) - Batch Normalization
- Deep learning(7) - Optimization Algorithms
- Deep learning(6) - Practical aspect of Deep learning
- Deep learning(5) - Deep L-neural network
- Deep learning(4) - Back propagation
- Deep learning(3) - Activation function
- Deep learning(2) - Logistic regression
- Deep learning(1) - Introduction to Deep learning