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Overview
This advanced course dives deep into machine learning using Python and Tensor Flow, a leading open-source library for building neural networks. Students explore concepts such as deep learning architectures, convolutional neural networks, recurrent neural networks, and transfer learning. The course offers practical projects that include image classification, natural language processing, and reinforcement learning. By mastering Tensor Flow tools and techniques, learners gain the ability to develop, train, and deploy complex machine learning models applicable in various industries.
Syllabus
- Introduction to Machine & Deep Learning
- Basics of TensorFlow & Installation
- Machine Learning Part 1 : Supervised Learning
- Machine Learning Part 2 : Unsupervised Learning
- Deep Learning Basics with Tensorflow : Neural Networks
- Model Evaluation & Optimization
- TensorFlow for Production
- Project: Image Classification
- Conclusion
- BONUS Section - Don't Miss Out
Instructor
Meta Brains
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