Master TensorFlow: Complete Deep Learning Course 2024
Focused View
1:16:05
1 -Introduction to TensorFlow.mp4
02:46
2 -Coding Exercises with Solutions.mp4
04:48
1 -TensorFlow Core Concept.mp4
02:35
2 -Coding Exercises with Solutions.mp4
05:28
1 -Linear Regression with TensorFlow.mp4
02:41
2 -Coding Exercises with Solutions.mp4
05:00
1 -Classification with TensorFlow.mp4
02:50
2 -Coding Exercises with Solutions.mp4
05:16
1 -Neural Networks and TensorFlow.mp4
02:42
2 -Coding Exercises with Solutions.mp4
04:51
1 -Convolutional Neural Networks (CNNs).mp4
02:48
2 -Coding Exercises with Solutions.mp4
04:49
1 -Recurrent Neural Networks (RNNs).mp4
02:14
2 -Coding Exercises with Solutions.mp4
04:23
1 -Transfer Learning with TensorFlow.mp4
02:45
2 -Coding Exercises with Solutions.mp4
04:18
1 -TensorFlow with Keras API.mp4
02:52
2 -Coding Exercises with Solutions.mp4
05:28
1 -Deploying TensorFlow Models.mp4
02:43
2 -Coding Exercises with Solutions.mp4
04:48
More details
Course Overview
This comprehensive course teaches you to build and deploy neural networks using TensorFlow through hands-on coding exercises. Master deep learning techniques from linear regression to advanced CNNs and RNNs.
What You'll Learn
- Build and train neural networks with TensorFlow
- Implement CNNs and RNNs for real-world tasks
- Deploy optimized TensorFlow models in production
Who This Is For
- Aspiring data scientists specializing in deep learning
- Python developers expanding into AI development
- Researchers integrating deep learning into their work
Key Benefits
- Practical coding exercises with solutions
- Includes transfer learning and Keras API
- From fundamentals to deployment-ready skills
Curriculum Highlights
- TensorFlow Core Concepts
- Neural Networks Implementation
- CNN/RNN Architectures
Focused display
- language english
- Training sessions 20
- duration 1:16:05
- Release Date 2025/05/10