Deep Learning with TensorFlow
About Course
Learn how to build, train, and optimize deep learning models using TensorFlow and Keras. From neural network basics to CNNs, RNNs, and transfer learning, this course covers everything you need to master deep learning for real-world applications.
Basic Python and ML knowledge required.
Course Content
Introduction to Deep Learning
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Lesson 1: What is Deep Learning?
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Lesson 2: Neural Networks Basics
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Lesson 3: Perceptrons & Activation Functions
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Lesson 4: Gradient Descent Explained
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Lesson 5: Backpropagation in Neural Networks
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Lesson 6: Overfitting & Underfitting in DL
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Lesson 7: Deep Learning vs Machine Learning
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Lesson 8: Real-World Applications of DL
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Lesson 9: Setting up TensorFlow & Keras
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Lesson 10: Your First Neural Network