1 option
AI Projects with Python, TensorFlow, and NLTK / with Dhhyey Desai.
- Format:
- Video
- Author/Creator:
- Desai, Dhhyey, speaker.
- Language:
- English
- Genre:
- Instructional films.
- Educational films.
- Physical Description:
- 1 online resource
- Place of Publication:
- Carpenteria, CA : linkedin.com, 2024.
- System Details:
- Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
- Summary:
- Supercharge your technical know-how and start building AI projects using Python, TensorFlow, and NLTK.
- Are you looking to boost your technical know-how with AI? This course is designed to help you develop the skills you need to know to start building your own AI projects in Python. Join instructor and Google Certified Python Expert Dhhyey Desai as he delves into the fundamentals of image classification using the powerful TensorFlow library. The second section of the course is focused on natural language processing (NLP) and the core concepts of sentiment analysis. Along the way, get introduced to the NLTK library, discovering how to use pretrained analyzers and gathering techniques for accurately analyzing text data. By the end of this course, you'll be prepared to create a personalized model with TorchRec, the PyTorch domain library that lets you build and analyze your own recommender systems for rating data. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started.
- Participant:
- Presenter: Dhhyey Desai
- Notes:
- 3/20/202412:00:00AM
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.