Machine learning beginners take Coursera's Deep learning course

Caution

First of all, to those who clicked on this article As a premise, the output is important, so I really just want to put the output. Even so, I haven't posted to Qiita until now because there was no need to write it specially and there was no novelty. It's good that I took Coursera's Machine learning from a month ago and took the Deep learning course in good condition, but this is 16 weeks in total and is currently the 6th lap. Up to the first topic (mini-batch gradient descent method) on the 6th lap, I was able to pass through with the pattern I took in the Machine learning course, but finally I stepped into an unknown area, and at this timing the Japanese subtitles disappeared completely. Now that I am quite anxious. I'm sure that the Japanese subtitles will disappear at this timing, so far, "Oh, it's the same as what I did in Machine learning. Oh, the Japanese subtitles are finally gone. I don't understand immediately." I think it tells the story of the large number of dew and disappeared corpses. Here, I decided to become a human merkmal who is also willing to study the Deep Learning course.

Who are you & what to write

First of all, about me, I am currently in the third year of college. Belongs to the Department of Agricultural Economics. However, I haven't really had any skills because I have been devoted to club activities and have chosen lessons that I can take and lessons that are easier than I want to take. However, I am addicted to econometrics, which is a compulsory undergraduate class, and try to touch kaggle. However, when I entered the top 30% of Titanic tutorials with the knowledge of only the upper side that I searched on the net, I could not see the future of anything, so I tried machine learning of coursera (end of December to end of January 2019). After that, I was addicted to the fun of machine learning and continued to take deep learning at coursera. For learning machine learning, I referred to the following article by @ Falcon__0904. https://qiita.com/Falcon__0904/items/1c20595c5e6dac4530dc As for what to write next, I will just scribble what I learned this week. I will write it once I have decided what I want to write clearly in the future. Improving Deep Neural Networks:Week2 This week, we mainly learned about speed-up tips that are important when building large-scale neural networks. I'm taking notes with Goodnotes so let's throw it ... 20FC374D-402E-4D94-9B3B-60FEF8922C8A.png 00AD751A-7520-48FC-A31E-3926C1FEE796.png ![6B95FE28-C7C1-4EF9-919B-CAC474533ED7.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/466948/0f5f485b-13DD8BEF-0F4D-46EE-AFCC-F50ACA6F337C.png 94b8-1b41-9e04-3e63607775ca.png) 67D2550C-F824-4734-8238-CA0AAA04AF67.png 2D0DEE89-2D7E-40BF-A573-B40516EF2980.png FEF4ECE5-8AFC-4639-AF89-81009E8252BB.png I'll give you this. Please tell me if you do it.

Recommended Posts

Machine learning beginners take Coursera's Deep learning course
Machine learning course memo
Recommended study order for machine learning / deep learning beginners
<Course> Deep Learning: Day2 CNN
Machine learning beginners tried RBM
<Course> Deep Learning: Day1 NN
<Course> Machine Learning Chapter 6: Algorithm 2 (k-means)
Machine learning summary by Python beginners
Machine learning beginners try linear regression
<Course> Machine Learning Chapter 7: Support Vector Machine
<For beginners> python library <For machine learning>
Organize machine learning and deep learning platforms
Machine learning
Deep Learning
<Course> Machine Learning Chapter 3: Logistic Regression Model
First Steps for Machine Learning (AI) Beginners
<Course> Deep Learning Day4 Reinforcement Learning / Tensor Flow
<Course> Machine Learning Chapter 1: Linear Regression Model
<Course> Machine learning Chapter 4: Principal component analysis
[Deep learning] Nogizaka face detection ~ For beginners ~
<Course> Machine Learning Chapter 2: Nonlinear Regression Model
Coursera's TensorFlow introductory course to get you started with Deep Learning implementations
[Python / Machine Learning] Why Deep Learning # 1 Perceptron Neural Network
[For beginners of artificial intelligence] Machine learning / Deep Learning Programming Learning path and reference books
Deep Learning Memorandum
Start Deep learning
[Note] Python, when starting machine learning / deep learning [Links]
List of links that machine learning beginners are learning
Python Deep Learning
Deep learning × Python
[Memo] Machine learning
Machine learning classification
[For beginners] Introduction to vectorization in machine learning
Machine Learning sample
Machine learning beginners try to make a decision tree
Artificial intelligence, machine learning, deep learning to implement and understand
Deep learning course that can be crushed on site
Everything for beginners to be able to do machine learning
Machine learning tutorial summary
First Deep Learning ~ Struggle ~
About machine learning overfitting
Python: Deep Learning Practices
Deep learning / activation functions
Deep Learning from scratch
Machine learning ⑤ AdaBoost Summary
Machine Learning: Supervised --AdaBoost
Machine learning logistic regression
Deep learning 1 Practice of deep learning
Machine learning support vector machine
Deep learning / cross entropy
First Deep Learning ~ Preparation ~
First Deep Learning ~ Solution ~
[AI] Deep Metric Learning
Studying Machine Learning ~ matplotlib ~
Machine learning linear regression
I tried deep learning
Machine learning library dlib
Machine learning (TensorFlow) + Lotto 6
Somehow learn machine learning
Python: Deep Learning Tuning
Deep learning large-scale technology