MAKER
CNN Fully connected Layer 1 A finite part of an array (array) format. One color photograph is three-dimensional data. Long pictures available for batch mode are 4D data. Fully Connected (FC) Neural Networks can be trained with photo data, transforming 3D photo data into 1D. Flatten your photo data. Artificial neural networks can be characterized …
Continue reading “2019.11.17(pm): CNN(Convolutional Newral Network)”
Today I will look at the Trajectory Planning Method for the Quadruped Robot Walking on Rough Terrain and explore the scenario where the quadruped robot walking on the rough terrain with the static walking gait. link: https://www.researchgate.net/publication/285746581_A_Composite_COG_Trajectory_Planning_Method_for_the_Quadruped_Robot_Walking_on_Rough_Terrain COG(Center of Gravity) trajectory Kinematic Let’s define planned walking patterns based on the position of the torso and …
authors: Mitsuharu Yonemura, Hitomi Nishibata, Tomohiro Nishiura, Natsumi Ooura, Yuki Yoshimoto, Kazuki Fujiwara, Kaori Kawano, Tomoyuki Terai, Yuichi Inubushi, Ichiro Inoue, Kensuke Tono & Makina Yabashi link: https://www.nature.com/articles/s41598-019-47668-6 abstract: In this study, phase transformation kinetics was directly evaluated using a femtosecond X-ray diffraction technique for operand measurements of the dislocation densities and carbon concentrations in Fe-0.1mass%C martensitic steel. To identify the reverse transformation mechanism from α′ to …
Continue reading “2019.11.10(pm): Fine microstructure formation in steel under ultrafast heating”
Anaconda Anaconda is a development platform that gathers open source for Python-based data analysis. Anaconda’s advanced package manager allows you to get the most out of Python. Another advantage of Anaconda is that the virtual environment manager can efficiently configure the development environment for each project. Download https://www.anaconda.com/download/ If you have anaconda installed, check the …
Continue reading “2019.11.03(pm): How to install Anaconda and Jupyter Notebook”
Bayes’s Theorem Called Bayes’s theorem or Bayes’s rule or Bayes’ law, this is a conditional probability equation (X2: model, X1: observation) Bayesian probabilities are probability transforms that allow the posterior probability to be calculated using prior and likelihoods. Bayesian probabilities mostly occur when classification and detection problems occur in image processing. In other words, Bayesian …
Continue reading “2019.11.02(pm): Bayes’s Theorem and MLE vs MAP”
Let’s study artificial intelligence today ! Perceptron First, perceptron is a type of artificial neural network proposed by Frank Rosenblatt in 1957. It is an algorithm that produces one result from multiple inputs. Perceptron can easily be compared to neurons, the nerve cells that actually make up the brain. Neurons receive signals from the dendritic …
Continue reading “2019.10.09(pm): The concept of Perceptron”
Today we will draw a graph using the data from the PMS7003 fine dust sensor. When I compiled the code I uploaded last time, I suddenly got a compile error. While looking for the reason, I found that I did not update the Arduino / Genuino UNO board version. So I entered board manager and …
Raw spring roll and shabu-shabu golbaengimuchim and jabchae, Grandma gave me delicious food.
I post in almost two months. Today’s topic is the PMS7003, a fine dust sensor. Let’s take a look at the contents of the datasheet. PMS7003 is a kind of digital and universal particle concentration sensor, which can be used to obtain the number of suspended particles in the air, i.e. the concentration of particles, …
Continue reading “2019.09.21(pm): How to use fine dust sensor PMS7003”
I went to my grandmother’s house this weekend and ate my grandmother’s food. I like the egg rolls my grandmother gave me. And the taste of grilled mackerel was fantastic. Is this healing?