Tags: Computer Science, Deep Learning, Technology & Engineering
Deep Learning Flashcards
Expand your knowledge on Deep Learning faster using spaced repetition. Use digital flashcards to help you study anytime, anywhere!
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BB2
BB2
By: Haleema D
1 - Introduction to BB, 2 - Neurodegeneration in the Basal Ganglia, 3 - Motor Systems II27Decks825Flashcards1Learner -
Amazon questions
Amazon questions
By: Gabriella Kursman-Neri
Customer Obsession, Ownership, Invent and Simplify14Decks117Flashcards5Learners -
Machine Learning
Machine Learning
By: Waqee Zaman
Models, K-NN, Measuring Performance9Decks91Flashcards1Learner -
Machine Learning
Machine Learning
By: Sophie West
3. VC-Dim, PCA, ICA, Efficient Coding, Random Forest, Deep Learning9Decks90Flashcards2Learners -
Intelligent Systems
Intelligent Systems
By: Emma Vande Wouwer
Multi Agent Reinforcement Learning, Intro Intelligence, Expert Systems9Decks142Flashcards1Learner -
Computer Science
Computer Science
By: Christopher Taylor
Neural Networks and Deep Learning, Intro to Computer Science, Data Structures and Algorithms4Decks26Flashcards1Learner -
FITE1010
FITE1010
By: Rivaldo Soebianto
Privacy Lect5, AI & ML Lect6, Deep Learning in Finance Lect73Decks107Flashcards1Learner -
Natural Language & Computer Vision Specialist
Natural Language & Computer Vision Specialist
By: Nicole Fox
SAS® Visual Text Analytics in SAS® Viya®, Deep Learning Using SAS® Software2Decks37Flashcards3Learners -
Behavioral Questions
Behavioral Questions
By: David Sumich
Customer Obsession, Ownership, Invent and Simplify12Decks26Flashcards2Learners -
Machine Learning and Optimisation for Communications Engineering
Machine Learning and Optimisation for Communications Engineering
By: Rogelio Ramel
Lecture #1 - Mathematical Preliminaries, Lecture #2 - ML Basics, Lecture #3 - Binary Classification4Decks77Flashcards2Learners -
(1) Specialty Clinics & Low Vision
(1) Specialty Clinics & Low Vision
By: Bradley Brown
Lecture 1 - Intro, Lecture 2, 3, 4 - LVA assessment + Reg, Lecture 5 - Additional support needs (ASN)23Decks551Flashcards1Learner -
Data Science Interview Questions
Data Science Interview Questions
By: Brianna Sanzone
Statistics, Data Science, Data Analysis7Decks33Flashcards3Learners -
ML, DL, and DS
ML, DL, and DS
By: Kartikey Sinha
Machine Learning revision, Deep Learning Revision2Decks74Flashcards2Learners -
Amazon Interview
Amazon Interview
By: Michael Kennedy
Customer Obsession, Ownership, Invent and Simplify15Decks62Flashcards15Learners -
Machine-Learning
Machine-Learning
By: Taranga Ghosh
01-Introduction-Terminology, Numpy and Keras, PracticalStuff5Decks78Flashcards2Learners -
Supply Chain Innovation
Supply Chain Innovation
By: Andre Weiser.
Basic Supply Chain Management, 3.1 Basics of innovation (2), 3. Innovation Concepts17Decks138Flashcards2Learners -
Key ML Readings
Key ML Readings
By: Jessica London
Key acronyms, Andrew Trask Deep Learning, Zetta Playbook4Decks65Flashcards2Learners -
Handbook of Counselor Preparation-Seminar in Counselor Ed
Handbook of Counselor Preparation-Seminar in Counselor Ed
By: Misti Gossett
Preface, Chapter 25-Narrative/Postmodern Perspectives on Counselor Education, Chapter 24-The Use of Technology in Counselor Education and Supervision25Decks847Flashcards6Learners -
Data Science - from ChatGPT
Data Science - from ChatGPT
By: Noah Green
Data Science Terminology - assorted topics, Data Science Risk Management, Machine Learning Lifecycle67Decks729Flashcards1Learner -
Rupesh - Examples Amazon Leadership Principles
Rupesh - Examples Amazon Leadership Principles
By: Rupesh Tiwari
Customer Obsession, Earn Trust Questions, Invent & Simplify Questions14Decks54Flashcards9Learners -
Neuro 1
Neuro 1
By: Elaina JoAnn
Intro to NS Inf Diseases, Scalp, Skull and Cranial Cavity (Lab), Meningitis13Decks363Flashcards1Learner -
ML2
ML2
By: Rebecca Roberts
01 semi-supervised learning, 02 Active Learning, 03 Spiking NNs8Decks129Flashcards1Learner -
Data Science
Data Science
By: Ankita Garg
Machine Learning, Deep Learning2Decks21Flashcards2Learners -
ML
ML
By: Anna Jusek
Conv Net, Overview: Deep Learning, Introduction7Decks39Flashcards2Learners -
Interview Questions
Interview Questions
By: Anna Sealey
Customer Obsession, Deliver Results, Dive Deep17Decks130Flashcards2Learners -
Computer Vision
Computer Vision
By: Ergys Meda
Image Coding, Pixel Operations,Spatial FIltering and Images In Frequency, Midlevel,Hough+morphologica,Segmentation,Otsu+cluster, Denisty Estimation + Mean shift, Markov Random Fields,Feature and corner detection5Decks90Flashcards4Learners -
Machine Learning
Machine Learning
By: LearnNew EachDay
Introduction, Seven Steps of Machine Learning, Plain and Simple Estimators8Decks25Flashcards4Learners -
TIG117 Machine Learning
TIG117 Machine Learning
By: Hannah Malmback
SECTION 1: Single layer perceptrons & the basics of ANNs, SECTION 2: Multi-layer perceptrons (MLP), SECTION 3: Learning6Decks35Flashcards3Learners -
Machine Learning
Machine Learning
By: Nicolò Pinciroli Vago
Advanced deep learning practices (-> 259), 7.1.1+2Decks24Flashcards2Learners -
Machine Learning
Machine Learning
By: Stefano Deriu
Learning Model, Uniform Convergence, Bias Complexity Trade-off11Decks58Flashcards3Learners
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