https://github.com/amirhoseinsalimi/deep-learning-codingcogs-course-codes
My complete code and notebooks from the Deep Learning Workshop by CodingCogs. Covers foundational to advanced deep learning topics using TensorFlow and Keras including CNNs, RNNs, LSTMs, GRUs, and text sequence models.
https://github.com/amirhoseinsalimi/deep-learning-codingcogs-course-codes
cnn deep-learning gru lstm machine-learning ml neural-network python rnn tutorial workshop
Last synced: 10 days ago
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My complete code and notebooks from the Deep Learning Workshop by CodingCogs. Covers foundational to advanced deep learning topics using TensorFlow and Keras including CNNs, RNNs, LSTMs, GRUs, and text sequence models.
- Host: GitHub
- URL: https://github.com/amirhoseinsalimi/deep-learning-codingcogs-course-codes
- Owner: amirhoseinsalimi
- Created: 2025-07-08T07:35:31.000Z (10 months ago)
- Default Branch: master
- Last Pushed: 2025-08-30T14:56:51.000Z (8 months ago)
- Last Synced: 2025-10-09T05:37:45.550Z (7 months ago)
- Topics: cnn, deep-learning, gru, lstm, machine-learning, ml, neural-network, python, rnn, tutorial, workshop
- Language: Python
- Homepage:
- Size: 28.4 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deep Learning Course – CodingCogs
This repository contains the full set of exercises, implementations, and Jupyter notebooks from
the [Deep Learning Course](https://codingcogs.org/courses/deep-learning-workshop) by CodingCogs. The course covers a
wide range of deep learning topics using TensorFlow and Keras, starting from the basics of neural networks to advanced
models like bidirectional LSTMs and GRUs.
---
## 📚 Course Modules
1. Deep Learning Structure
2. Neural Networks
3. Classifying Images Using CNNs
4. Deep Learning in Texts and Embeddings
5. Deep Learning in Sequences
6. Advanced RNNs and LSTM and GRU
Each module contains:
- 📓 Jupyter notebooks with hands-on code
- ✅ Completed exercises
- 📊 Visualizations of model performance
- 🧠 Implementations using TensorFlow and Keras
---
## 🧠 Key Topics Covered
- Perceptrons and Feedforward Neural Networks
- CNNs for image classification
- Word embeddings and sequential data
- RNNs, LSTMs, GRUs for text and time-series data
- Advanced techniques: Bidirectional & Stacked RNNs
- Model evaluation, training strategies, and data preprocessing
---
## 🛠 Tech Stack
- Python 3
- TensorFlow / Keras
- NumPy
- Matplotlib
- Jupyter Notebook
- Poetry (for dependency management)
---
## 🔗 Course Link
You can access the original course here:
[➡️ Deep Learning Workshop – CodingCogs](https://codingcogs.org/courses/deep-learning-workshop)
---
## 📜 License
This repository is for educational purposes and personal reference. Feel free to explore, fork, or use parts of it to
support your own learning.
---
⭐️ If you find this helpful, consider starring the repo!