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The course covers a\nwide range of deep learning topics using TensorFlow and Keras, starting from the basics of neural networks to advanced\nmodels like bidirectional LSTMs and GRUs.\n\n---\n\n## 📚 Course Modules\n\n1. Deep Learning Structure\n2. Neural Networks\n3. Classifying Images Using CNNs\n4. Deep Learning in Texts and Embeddings\n5. Deep Learning in Sequences\n6. Advanced RNNs and LSTM and GRU\n\nEach module contains:\n\n- 📓 Jupyter notebooks with hands-on code\n- ✅ Completed exercises\n- 📊 Visualizations of model performance\n- 🧠 Implementations using TensorFlow and Keras\n\n---\n\n## 🧠 Key Topics Covered\n\n- Perceptrons and Feedforward Neural Networks\n- CNNs for image classification\n- Word embeddings and sequential data\n- RNNs, LSTMs, GRUs for text and time-series data\n- Advanced techniques: Bidirectional \u0026 Stacked RNNs\n- Model evaluation, training strategies, and data preprocessing\n\n---\n\n## 🛠 Tech Stack\n\n- Python 3\n- TensorFlow / Keras\n- NumPy\n- Matplotlib\n- Jupyter Notebook\n- Poetry (for dependency management)\n\n---\n\n## 🔗 Course Link\n\nYou can access the original course here:  \n[➡️ Deep Learning Workshop – CodingCogs](https://codingcogs.org/courses/deep-learning-workshop)\n\n---\n\n## 📜 License\n\nThis repository is for educational purposes and personal reference. Feel free to explore, fork, or use parts of it to\nsupport your own learning.\n\n---\n\n⭐️ If you find this helpful, consider starring the repo!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirhoseinsalimi%2Fdeep-learning-codingcogs-course-codes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famirhoseinsalimi%2Fdeep-learning-codingcogs-course-codes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirhoseinsalimi%2Fdeep-learning-codingcogs-course-codes/lists"}