How to apply deep learning for 3D object

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How to apply deep learning for 3D object
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How to apply deep learning for 3D object [EuroPython 2017 - Talk - 2017-07-13 - Arengo] [Rimini, Italy] I talk about the ""How to achieve the 3D object recognition accuracy 80%(40 category) for 3month " Deep Learning is the good technique for image recognition and speech recognition. And it apply the other field. Many people try to apply the Deep Learning, but it is difficult to make a result. In my situation, I have enough knowledge about the 3D object and label data. I'll talk about the how to achieve the 80 % (40 category) In My approach 1: Getting the Information 1.1: How to choose the information 1.2: How to choose framework 2: Getting the Data 2.1: Public data 2.2: How to make the own data 3: Try small 3.1: Trying the small data set 3.2: Trying the train and predict 4: Deciding the direction focus 4.1: Choose what you can control 5: Prioritizing with high certainty 5.1: Pre-process 5.2: Improve the train speed 6: Increasing the challenge times 6.1: Using the GPU 6.2: CPU optimization 6.3: multi process 6.4: resource 7: Parameter Tuning 7.1: Improve Model Versatility or Improve Data Versatility 7.2: Model Tuning 7.2.1: RandomDropOut 7.2.2: LeakyRelu 7.3: Data Argumantion 8: Product 8.1: Minimum function 8.2: Using Docker I hope to people who want to apply Deep Learning for the 3D mode
Intel Presentation of a group Object (grammar) Plotter Software Personal digital assistant Strategy game Mereology Object (grammar) Mereology Area Product (business)
Focus (optics) Computer virus Table (information) Software developer State of matter Weight Image processing 1 (number) Content (media) Focus (optics) Wave packet Twitter Data model Process (computing) CNN Function (mathematics) Personal digital assistant Strategy game Right angle Information Traffic reporting Resultant
Covering space Observational study 1 (number) Determinant Mereology
Pattern recognition Image processing Time series Mathematical analysis Formal language Product (business) Process (computing) Personal digital assistant Series (mathematics) Personal digital assistant Natural number Process (computing) Speech synthesis
Googol Googol Right angle
Group action Content (media) Code System call Twitter Computer programming Structured programming Goodness of fit Googol Googol Right angle Information Data structure Identical particles Logic gate Metropolitan area network
Boss Corporation Multiplication sign Calculation Visual system Set (mathematics) Grass (card game) Product (business) Wave packet Product (business) Tensor Befehlsprozessor Whiteboard Befehlsprozessor Gastropod shell Speech synthesis Formal verification Condition number Graphics processing unit
Data model Structured programming Preprocessor Parameter (computer programming) Mathematical optimization Data Augmentation Mathematical optimization Product (business)
Addition Random number Axiom of choice Linear regression Support vector machine Weight Multiplication sign Plotter Logistic distribution Focus (optics) Product (business) Product (business) Forest Preprocessor Object (grammar) Personal digital assistant Data Augmentation
Source code Observational study State of matter Software developer Multiplication sign Code Sound effect Demoscene Product (business) Data model Type theory Integrated development environment Read-only memory Core dump Authorization output Cuboid Integrated development environment Force Reduction of order Graphics processing unit
Data model Convolution CNN Personal digital assistant Object (grammar) Computer-generated imagery 1 (number) output Species output Window
Data model Convolution CNN Object (grammar) Multiplication sign Sheaf (mathematics) Figurate number output
Convolution State of matter Multiplication sign Content (media) Set (mathematics) Sound effect Maxima and minima System call Power (physics) Data model Arithmetic mean Causality CNN Personal digital assistant Object (grammar) Right angle Analytic continuation Spacetime
Convolution Data model Group action File format Window
Asynchronous Transfer Mode Distribution (mathematics) Arm Graph (mathematics) Distribution (mathematics) Image resolution Chaos (cosmogony) Product (business) Data model Population density Personal digital assistant Function (mathematics) Normal (geometry) Right angle Quicksort
Functional (mathematics) Metric system Interface (computing) Set (mathematics) Insertion loss Shape (magazine) Wave packet Product (business) Product (business) Sequence Data model Kernel (computing) Website output Metric system
Shift operator Variety (linguistics) Weight Multiplication sign Software developer Shared memory Bit Augmented reality Limit (category theory) Computer font Product (business) Product (business) Data model Category of being Mathematics Vector space Personal digital assistant Speech synthesis Social class Right angle Abelian category Data Augmentation
Rotation Personal digital assistant Computer-generated imagery Bit Special unitary group Data Augmentation Cartesian coordinate system Rotation Number Physical system
Befehlsprozessor Read-only memory Befehlsprozessor Calculation Software testing Mathematical optimization Multiplication Thread (computing) Graphics processing unit
Computer configuration Computer configuration Befehlsprozessor Calculation Mathematical optimization Resultant
Addition Arithmetic mean Line (geometry) Weight Weight Shift operator Data Augmentation Resultant Physical system Wave packet
Pattern recognition Bit rate Strategy game Strategy game Right angle Limit (category theory) Computer programming
Point (geometry) Permanent Demo (music) Demo (music) Maxima and minima Website Speech synthesis Object (grammar) Gamma function Product (business) Installable File System
Electronic data interchange Demo (music) Graphic design Shape (magazine)
Group action Object (grammar) Demo (music)
Rotation Computer virus Machine learning Presentation of a group Object (grammar) Physical law Matrix (mathematics) Representation (politics) Right angle Metric system Disk read-and-write head Social class
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