DeepLearn Hub 4+

DeepLearn Hub: Master Deep Learning Step By Step

Master deep learning through structured, progressive learning paths and hands-on coding exercises. Start with core concepts and advance to implementing advanced models using TensorFlow, PyTorch, and scikit-learn.

LEARNING UNITS

1. Getting Started with TensorFlow

2. TensorFlow Core Concepts and Fundamentals

3. Building Linear Models with TensorFlow

4. TensorFlow Neural Network Architecture

5. TensorFlow CNN Development

6. Advanced TensorFlow CNNs

7. TensorFlow Sequential Data & RNNs

8. Introduction to PyTorch

9. PyTorch Core Fundamentals

10. PyTorch Neural Networks

11. PyTorch Training Techniques

12. PyTorch CNNs Implementation

13. PyTorch RNNs & LSTMs

14. PyTorch Transfer Learning

15. Getting Started with scikit-learn

16. scikit-learn Data Preprocessing

17. scikit-learn Regression Models

18. scikit-learn Classification

19. scikit-learn SVMs

20. scikit-learn Decision Trees

21. scikit-learn Clustering

22. scikit-learn Neural Networks

TUTORIAL FEATURES

* Mathematics Foundations

* Formulas & equations

* Parameter definitions

* Code Examples

* Practical examples

* Implementation steps

* Visual Learning

* Formula boxes

* Method sections

LEARNING FEATURES

- Daily Python challenges

- 20 hands-on coding exercises per unit

- Step-by-step tutorials with practical examples

- Progress tracking with model portfolio

- Full offline access to all examples

- No ads or subscriptions needed

DEEP LEARNING TOOLS

- AI Beginners

- Neural Networks

- Convolutional Neural Networks

- Recurrent Neural Networks

- Transfer Learning

- Linear Models

- Classification

- Regression

- Clustering

WHO IT'S FOR

- Data Scientists

- Machine Learning Engineers

- AI Researchers

- Software Engineers

- STEM Students

- Technical Analysts

WHAT YOU'LL LEARN

* Master deep learning frameworks

* Build neural network models

* Implement ML algorithms

* Process and analyze data

* Design model architectures

* Optimize training processes

* Create data pipelines

* Deploy production models

Transform your deep learning skills with DeepLearn Hub! From foundational concepts to advanced applications, build your expertise step by step with hands-on practice.

DISCLAIMER

Disclaimer: This app provides educational content related to scikit-learn, TensorFlow, and PyTorch, and is intended for educational purposes only. It does not include any Python/scikit-learn, Python/TensorFlow, or Python/PyTorch compiler or code execution environment. The app is not affiliated with, endorsed by, or officially connected to scikit-learn, The scikit-learn Developers, TensorFlow, The TensorFlow Authors, PyTorch, Facebook, or any contributors to these projects.

We do not guarantee that the content provided can be directly applied in real-world programming scenarios. This disclaimer is subject to applicable laws and is part of the Terms and Conditions governing the app. All content related to scikit-learn, TensorFlow, and PyTorch is provided "AS IS" without any warranties of any kind. Neither the app creators, The scikit-learn Developers, The TensorFlow Authors, nor PyTorch Contributors shall be liable for any damages arising from the use of this educational content.