Online Study Guide for Deep Learning

BB2

BB2

By: Haleema D

825 Cards –

27 Decks –

1 Learner

Sample Decks: 1 - Introduction to BB, 2 - Neurodegeneration in the Basal Ganglia, 3 - Motor Systems II

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Amazon questions

Amazon questions

By: Gabriella Kursman-Neri

117 Cards –

14 Decks –

5 Learners

Sample Decks: Customer Obsession, Ownership, Invent and Simplify

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Machine Learning

Machine Learning

By: Waqee Zaman

91 Cards –

9 Decks –

1 Learner

Sample Decks: Models, K-NN, Measuring Performance

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Machine Learning

Machine Learning

By: Sophie West

90 Cards –

9 Decks –

2 Learners

Sample Decks: 3. VC-Dim, PCA, ICA, Efficient Coding, Random Forest, Deep Learning

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Intelligent Systems

Intelligent Systems

By: Emma Vande Wouwer

142 Cards –

9 Decks –

1 Learner

Sample Decks: Multi Agent Reinforcement Learning, Intro Intelligence, Expert Systems

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Computer Science

Computer Science

By: Christopher Taylor

26 Cards –

4 Decks –

1 Learner

Sample Decks: Neural Networks and Deep Learning, Intro to Computer Science, Data Structures and Algorithms

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FITE1010

FITE1010

By: Rivaldo Soebianto

107 Cards –

3 Decks –

1 Learner

Sample Decks: Privacy Lect5, AI & ML Lect6, Deep Learning in Finance Lect7

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Natural Language & Computer Vision Specialist

Natural Language & Computer Vision Specialist

By: Nicole Fox

37 Cards –

2 Decks –

3 Learners

Sample Decks: SAS® Visual Text Analytics in SAS® Viya®, Deep Learning Using SAS® Software

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Behavioral Questions

Behavioral Questions

By: David Sumich

26 Cards –

12 Decks –

2 Learners

Sample Decks: Customer Obsession, Ownership, Invent and Simplify

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(1) Specialty Clinics & Low Vision

(1) Specialty Clinics & Low Vision

By: Bradley Brown

551 Cards –

23 Decks –

1 Learner

Sample Decks: Lecture 1 - Intro, Lecture 2, 3, 4 - LVA assessment + Reg, Lecture 5 - Additional support needs (ASN)

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Machine Learning and Optimisation for Communications Engineering

Machine Learning and Optimisation for Communications Engineering

By: Rogelio Ramel

77 Cards –

4 Decks –

2 Learners

Sample Decks: Lecture #1 - Mathematical Preliminaries, Lecture #2 - ML Basics, Lecture #3 - Binary Classification

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Data Science Interview Questions

Data Science Interview Questions

By: Brianna Sanzone

33 Cards –

7 Decks –

3 Learners

Sample Decks: Statistics, Data Science, Data Analysis

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ML, DL, and DS

ML, DL, and DS

By: Kartikey Sinha

74 Cards –

2 Decks –

2 Learners

Sample Decks: Machine Learning revision, Deep Learning Revision

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Amazon Interview

Amazon Interview

By: Michael Kennedy

62 Cards –

15 Decks –

15 Learners

Sample Decks: Customer Obsession, Ownership, Invent and Simplify

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Machine-Learning

Machine-Learning

By: Taranga Ghosh

78 Cards –

5 Decks –

2 Learners

Sample Decks: 01-Introduction-Terminology, Numpy and Keras, PracticalStuff

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Supply Chain Innovation

Supply Chain Innovation

By: Andre Weiser.

138 Cards –

17 Decks –

2 Learners

Sample Decks: Basic Supply Chain Management, 3.1 Basics of innovation (2), 3. Innovation Concepts

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Key ML Readings

Key ML Readings

By: Jessica London

65 Cards –

4 Decks –

2 Learners

Sample Decks: Key acronyms, Andrew Trask Deep Learning, Zetta Playbook

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Handbook of Counselor Preparation-Seminar in Counselor Ed

Handbook of Counselor Preparation-Seminar in Counselor Ed

By: Misti Gossett

847 Cards –

25 Decks –

6 Learners

Sample Decks: Preface, Chapter 25-Narrative/Postmodern Perspectives on Counselor Education, Chapter 24-The Use of Technology in Counselor Education and Supervision

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Rupesh - Examples Amazon Leadership Principles

Rupesh - Examples Amazon Leadership Principles

By: Rupesh Tiwari

54 Cards –

14 Decks –

9 Learners

Sample Decks: Customer Obsession, Earn Trust Questions, Invent & Simplify Questions

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Neuro 1

Neuro 1

By: Elaina JoAnn

363 Cards –

13 Decks –

1 Learner

Sample Decks: Intro to NS Inf Diseases, Scalp, Skull and Cranial Cavity (Lab), Meningitis

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Data Science - from ChatGPT

Data Science - from ChatGPT

By: Noah Green

729 Cards –

67 Decks –

1 Learner

Sample Decks: Data Science Terminology - assorted topics, Data Science Risk Management, Machine Learning Lifecycle

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ML2

ML2

By: Rebecca Roberts

129 Cards –

8 Decks –

1 Learner

Sample Decks: 01 semi-supervised learning, 02 Active Learning, 03 Spiking NNs

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Data Science

Data Science

By: Ankita Garg

21 Cards –

2 Decks –

2 Learners

Sample Decks: Machine Learning, Deep Learning

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ML

ML

By: Anna Jusek

39 Cards –

7 Decks –

2 Learners

Sample Decks: Conv Net, Overview: Deep Learning, Introduction

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Computer Vision

Computer Vision

By: Ergys Meda

90 Cards –

5 Decks –

4 Learners

Sample Decks: 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 detection

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Machine Learning

Machine Learning

By: LearnNew EachDay

25 Cards –

8 Decks –

4 Learners

Sample Decks: Introduction, Seven Steps of Machine Learning, Plain and Simple Estimators

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Interview Questions

Interview Questions

By: Anna Sealey

130 Cards –

17 Decks –

2 Learners

Sample Decks: Customer Obsession, Deliver Results, Dive Deep

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TIG117 Machine Learning

TIG117 Machine Learning

By: Hannah Malmback

35 Cards –

6 Decks –

3 Learners

Sample Decks: SECTION 1: Single layer perceptrons & the basics of ANNs, SECTION 2: Multi-layer perceptrons (MLP), SECTION 3: Learning

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Machine Learning

Machine Learning

By: Nicolò Pinciroli Vago

24 Cards –

2 Decks –

2 Learners

Sample Decks: Advanced deep learning practices (-> 259), 7.1.1+

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Machine Learning

Machine Learning

By: Stefano Deriu

58 Cards –

11 Decks –

3 Learners

Sample Decks: Learning Model, Uniform Convergence, Bias Complexity Trade-off

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Brainscape's Knowledge GenomeTM

Deep Learning Flashcards

Tags: Computer Science, Deep Learning, Technology & Engineering

Top Deep Learning Flashcards Ranked by Quality

BB2

By: Haleema D

Amazon questions

By: Gabriella Kursman-Neri

Machine Learning

By: Waqee Zaman

Machine Learning

By: Sophie West

Intelligent Systems

By: Emma Vande Wouwer

Computer Science

By: Christopher Taylor

FITE1010

By: Rivaldo Soebianto

Natural Language & Computer Vision Specialist

By: Nicole Fox

Behavioral Questions

By: David Sumich

(1) Specialty Clinics & Low Vision

By: Bradley Brown

Machine Learning and Optimisation for Communications Engineering

By: Rogelio Ramel

Data Science Interview Questions

By: Brianna Sanzone

ML, DL, and DS

By: Kartikey Sinha

Amazon Interview

By: Michael Kennedy

Machine-Learning

By: Taranga Ghosh

Supply Chain Innovation

By: Andre Weiser.

Key ML Readings

By: Jessica London

Handbook of Counselor Preparation-Seminar in Counselor Ed

By: Misti Gossett

Rupesh - Examples Amazon Leadership Principles

By: Rupesh Tiwari

Neuro 1

By: Elaina JoAnn

Data Science - from ChatGPT

By: Noah Green

ML2

By: Rebecca Roberts

Data Science

By: Ankita Garg

ML

By: Anna Jusek

Computer Vision

By: Ergys Meda

Machine Learning

By: LearnNew EachDay

Interview Questions

By: Anna Sealey

TIG117 Machine Learning

By: Hannah Malmback

Machine Learning

By: Nicolò Pinciroli Vago

Machine Learning

By: Stefano Deriu

Brainscape's Knowledge Genome^TM