{"id":19184231,"url":"https://github.com/dr-saad-la/cs501-deep-learning-complete-course","last_synced_at":"2025-04-09T23:53:44.703Z","repository":{"id":261910576,"uuid":"885700922","full_name":"dr-saad-la/CS501-Deep-Learning-Complete-Course","owner":"dr-saad-la","description":"Computer Science-501: Deep Learning Complete Course","archived":false,"fork":false,"pushed_at":"2025-01-29T22:11:52.000Z","size":7120,"stargazers_count":16,"open_issues_count":0,"forks_count":2,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-09T23:53:39.129Z","etag":null,"topics":["computer-science","course-materials","data-science","deep-learning","dr-saad-laouadi","machine-learning","neural-networks","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dr-saad-la.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-09T06:44:47.000Z","updated_at":"2025-03-27T12:45:16.000Z","dependencies_parsed_at":"2024-11-09T07:33:28.372Z","dependency_job_id":"08a9a9c5-5f84-4c7d-979a-f719361c9aa9","html_url":"https://github.com/dr-saad-la/CS501-Deep-Learning-Complete-Course","commit_stats":null,"previous_names":["dr-saad-la/cs501-deep-learning-complete-course"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dr-saad-la%2FCS501-Deep-Learning-Complete-Course","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dr-saad-la%2FCS501-Deep-Learning-Complete-Course/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dr-saad-la%2FCS501-Deep-Learning-Complete-Course/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dr-saad-la%2FCS501-Deep-Learning-Complete-Course/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dr-saad-la","download_url":"https://codeload.github.com/dr-saad-la/CS501-Deep-Learning-Complete-Course/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248131453,"owners_count":21052819,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-science","course-materials","data-science","deep-learning","dr-saad-laouadi","machine-learning","neural-networks","python","tensorflow"],"created_at":"2024-11-09T11:06:47.904Z","updated_at":"2025-04-09T23:53:44.679Z","avatar_url":"https://github.com/dr-saad-la.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CS501 - Deep Learning Complete Course\n\n**Computer Science 501: Deep Learning Complete Course**\n\nWelcome to CS501, a comprehensive course designed to provide an in-depth understanding of Deep Learning. This course also includes a Python crash course to ensure all participants are well-versed in Python, the primary language used for deep learning applications.\n\n## Instructor\nDr. Saad Laouadi\nEmail: [dr.saad.laouadi@gmail.com](mailto:dr.saad.laouadi@gmail.com)\n\n## Course Overview\nCS501 covers foundational and advanced concepts of Deep Learning, including:\n- Introduction to Python for Deep Learning\n- Neural Networks and Backpropagation\n- Convolutional Neural Networks (CNNs)\n- Recurrent Neural Networks (RNNs) and LSTM\n- Deep Reinforcement Learning\n- Practical applications using popular libraries such as TensorFlow and PyTorch\n\nThe Python crash course is designed to help students:\n- Master basic to advanced Python syntax\n- Understand Python’s data structures and libraries\n- Develop a strong foundation for implementing deep learning models\n\n## Course Format\n- Theoretical lectures covering core and advanced concepts in Deep Learning\n- Hands-on coding sessions to apply the knowledge in real-time\n- Practical projects designed to reinforce learning and provide real-world experience\n\nFor more details or inquiries, feel free to contact Dr. Saad Laouadi via email.\n\n## Cloning the Repository\nTo complete assignments and practice coding, follow these steps to clone the repository to your local machine:\n\n1. Open your terminal (or command prompt).\n2. Navigate to the directory where you want to clone the repository.\n3. Use the following command to clone the repository:\n   ```bash\n   git clone https://github.com/dr-saad-la/CS501-Deep-Learning-Complete-Course.git\n   ```\n\n4.\tOnce cloned, navigate into the repository directory:\n   ```bash\n   cd CS501-Deep-Learning-Complete-Course\n   ```\n\n5.\tYou can now access the course materials, complete assignments, and practice exercises.\n---\n© Dr. Saad Laouadi. All Rights Reserved.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdr-saad-la%2Fcs501-deep-learning-complete-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdr-saad-la%2Fcs501-deep-learning-complete-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdr-saad-la%2Fcs501-deep-learning-complete-course/lists"}