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Deep Learning

Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers.

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2025 Mastering Probability and Combinatorics...

By : AKHIL VYDYULA

Mastering the Essentials: Probability and Combinatorics Explained...

4.3 105

3:7:3 hrs   8 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Deep Learning with Python for Image Classification...

By : Mazhar Hussain

Learn Deep Learning, Machine Learning & Computer Vision for Image Classification in P...

4 1097

1:23:54 hrs   22 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Deep Learning With Keras and TensorFlow...

By : Skillcart E-Learning

All about Deep Learning!...

4 1027

8 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Mastering Data Visualization with Python using Seaborn Libra...

By : Jobshie Academy

Build your Data Analysis and Visualization skills with Python’s Seaborn Library...

4.1 855

1:45:17 hrs   19 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn Python + JavaScript + Microsoft SQL for Data science...

By : Sekhar Metla (Microsoft Certified Professional) Sudha

Learn Python and JavaScript how to use it to analyze, visualize and present data usin...

4 827

20:10:29 hrs   184 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Data Science: Deep Learning Project for Self Driving Cars...

By : School of Disruptive Innovation Innovation

Hands-on Traffic Sign Image Classification for Self-Driving Cars using Deep Learning ...

4.2 8493

6 lectures Intermedite Level   

javascript-course-for-beginner-to-expert-data-visualization

Datascience:COVID-19 Pneumonia Classification(Deep learning)...

By : School of Disruptive Innovation Innovation

A Practical Hands-on Data Science Guided Project on Covid-19 Pneumonia Classification...

4.6 8757

1:10:49 hrs   9 lectures All Level   

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Frequently asked questions
  • What is Deep Learning?

    Deep Learning is a subset of machine learning that involves neural networks with multiple layers (deep neural networks). It excels in learning complex patterns and representations from data.

  • How does Deep Learning differ from traditional machine learning?

    Deep Learning employs neural networks with deep architectures, allowing it to automatically learn hierarchical features and representations, eliminating the need for manual feature engineering.

  • What are Neural Networks in Deep Learning?

    Neural Networks are the fundamental building blocks of Deep Learning. They consist of interconnected layers of nodes (neurons), each layer learning different features and contributing to the model's overall capability.

  • What are common applications of Deep Learning?

    Deep Learning is applied in various domains, including image and speech recognition, natural language processing, autonomous vehicles, healthcare diagnostics, and recommendation systems.

  • What is the role of Training and Backpropagation in Deep Learning?

    Training involves feeding data into a neural network, adjusting weights based on predictions, and optimizing the model. Backpropagation is the process of iteratively updating weights by minimizing the difference between predicted and actual outcomes, enhancing model accuracy.

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