Convolutional Neural Network

Convolutional Neural Network
Convolutional Neural Network
Developer: Anbey1
Category: Personalization
472 installs
Ratings not yet available
13 monthly active users
$<10K monthly revenue est.
IAP 0% · Ad 100%
Install Trends
Weekly +5.00
Steady
Monthly +21
Steady
Convolutional Neural Network icon

ASO Keyword Dashboard

Tracking 113 keywords for Convolutional Neural Network in Google Play

Developer: Anbey1 Category: personalization Rating: 0.47

Convolutional Neural Network tracks 113 keywords (no keywords rank yet; 113 need traction). Key metrics: opportunity 70.9, difficulty 44.3.

Convolutional Neural Network: Learn its architecture, training process

Tracked keywords

113

0  ranked •  113  not ranking yet

Top 10 coverage

Best rank — • Latest leader —

Avg opportunity

70.9

Top keyword: key features

Avg difficulty

44.3

Lower scores indicate easier wins

Opportunity leaders

  • key features

    Opportunity: 74.0 • Difficulty: 42.1 • Rank —

    Competitors: 857

    65.4
  • inner

    Opportunity: 74.0 • Difficulty: 47.3 • Rank —

    Competitors: 861

    65.6
  • equipped

    Opportunity: 74.0 • Difficulty: 42.2 • Rank —

    Competitors: 504

    65.1
  • object

    Opportunity: 74.0 • Difficulty: 43.2 • Rank —

    Competitors: 633

    62.8
  • addresses

    Opportunity: 74.0 • Difficulty: 49.3 • Rank —

    Competitors: 195

    63.2

Unranked opportunities

  • key features

    Opportunity: 74.0 • Difficulty: 42.1 • Competitors: 857

  • inner

    Opportunity: 74.0 • Difficulty: 47.3 • Competitors: 861

  • equipped

    Opportunity: 74.0 • Difficulty: 42.2 • Competitors: 504

  • object

    Opportunity: 74.0 • Difficulty: 43.2 • Competitors: 633

  • addresses

    Opportunity: 74.0 • Difficulty: 49.3 • Competitors: 195

High competition keywords

  • like

    Total apps: 289,450 • Major competitors: 20,643

    Latest rank: — • Difficulty: 62.7

  • features

    Total apps: 253,879 • Major competitors: 13,788

    Latest rank: — • Difficulty: 59.3

  • using

    Total apps: 222,015 • Major competitors: 10,980

    Latest rank: — • Difficulty: 57.9

  • offers

    Total apps: 195,261 • Major competitors: 7,545

    Latest rank: — • Difficulty: 55.0

  • world

    Total apps: 195,115 • Major competitors: 13,804

    Latest rank: — • Difficulty: 59.1

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

Major Competitors
focus701005276

59,839 competing apps

Median installs: 762

Avg rating: 1.8

1,845

major competitor apps

connected691005178

74,124 competing apps

Median installs: 550

Avg rating: 1.8

2,176

major competitor apps

step691005178

83,941 competing apps

Median installs: 1,248

Avg rating: 1.9

3,811

major competitor apps

learn671005682

143,718 competing apps

Median installs: 1,912

Avg rating: 2.0

6,606

major competitor apps

emphasis721003354

2,293 competing apps

Median installs: 1,074

Avg rating: 1.8

41

major competitor apps

transparent721004470

24,961 competing apps

Median installs: 1,048

Avg rating: 1.6

573

major competitor apps

image701005176

55,895 competing apps

Median installs: 2,638

Avg rating: 2.0

2,932

major competitor apps

valuable711004572

31,065 competing apps

Median installs: 1,335

Avg rating: 1.9

1,053

major competitor apps

welcome681005181

123,951 competing apps

Median installs: 806

Avg rating: 1.9

5,009

major competitor apps

working701005174

43,002 competing apps

Median installs: 1,430

Avg rating: 1.9

1,671

major competitor apps

using661005885

222,015 competing apps

Median installs: 2,293

Avg rating: 2.0

10,980

major competitor apps

key681005381

120,307 competing apps

Median installs: 1,104

Avg rating: 1.9

5,380

major competitor apps

exercises731004267

16,409 competing apps

Median installs: 1,344

Avg rating: 2.0

469

major competitor apps

journey681005180

106,045 competing apps

Median installs: 1,271

Avg rating: 2.0

4,891

major competitor apps

process701004876

56,682 competing apps

Median installs: 852

Avg rating: 1.8

1,738

major competitor apps

including671005781

129,600 competing apps

Median installs: 2,114

Avg rating: 2.1

6,959

major competitor apps

various671005482

139,861 competing apps

Median installs: 2,624

Avg rating: 2.0

7,820

major competitor apps

key features741004265

12,851 competing apps

Median installs: 3,269

Avg rating: 2.1

857

major competitor apps

take661005684

189,291 competing apps

Median installs: 1,931

Avg rating: 2.1

10,645

major competitor apps

explore671005981

129,930 competing apps

Median installs: 1,822

Avg rating: 2.1

8,318

major competitor apps

understanding711004472

34,010 competing apps

Median installs: 1,148

Avg rating: 1.8

689

major competitor apps

power691005477

67,482 competing apps

Median installs: 1,963

Avg rating: 2.1

3,798

major competitor apps

skills691005378

81,157 competing apps

Median installs: 4,236

Avg rating: 2.2

6,470

major competitor apps

inner741004766

13,242 competing apps

Median installs: 1,937

Avg rating: 2.1

861

major competitor apps

comprehensive691004878

84,563 competing apps

Median installs: 669

Avg rating: 1.8

1,962

major competitor apps

113 keywords
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App Description

Convolutional Neural Network: Learn its architecture, training process

Welcome to the "Convolutional Neural Network" app, your comprehensive guide to understanding and mastering convolutional neural networks (CNNs) based on real-world principles and practical applications. In this app, you'll embark on a journey through the fundamentals of CNNs, gaining insights into their architecture, functionalities, and real-world implementations.

The "Convolutional Neural Network" app provides a solid foundation in neural networks and machine learning, with a specific focus on CNNs and their role in various domains. Through detailed explanations and interactive tutorials, you'll explore the inner workings of CNN layers, including convolutional layers, pooling layers, and fully connected layers, understanding how these components contribute to the overall performance of CNN models.

One of the key features of the "Convolutional Neural Network" app is its emphasis on practical learning. You'll engage in hands-on exercises and coding examples that demonstrate how to implement CNNs using popular frameworks like TensorFlow and PyTorch. By working through real-world datasets and case studies, you'll learn how to train CNN models for tasks such as image classification, object detection, and semantic segmentation.

Moreover, the "Convolutional Neural Network" app addresses the challenges and limitations of CNNs in a transparent manner. You'll learn about common issues such as overfitting, vanishing gradients, and the curse of dimensionality, along with techniques to mitigate these challenges effectively. Additionally, the app discusses ethical considerations in AI development, including fairness, accountability, and interpretability, ensuring that you're equipped to deploy CNN models responsibly.

Whether you're a student, researcher, or industry professional, the "Convolutional Neural Network" app offers valuable insights and practical knowledge that you can apply in real-world scenarios. From enhancing your understanding of CNN architectures to honing your skills in building and deploying CNN models, this app serves as a comprehensive resource for anyone seeking to leverage the power of convolutional neural networks in their work.

Download the "Convolutional Neural Network" app now and take the next step towards mastering CNNs and advancing your proficiency in the field of deep learning. With its practical approach and real-world rel