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Overview
This beginner-friendly course introduces Tensor Flow and deep learning through practical, hands-on coding exercises. Youâll start with basic neural networks, learn how to preprocess data, build models, train them, and evaluate their performance. The course covers key concepts like activation functions, loss functions, overfitting, and optimization techniques. You'll also get an overview of Convolutional Neural Networks (CNNs) and how to deploy models. Ideal for aspiring data scientists and AI engineers, this course helps you gain real-world experience with Tensor Flow,...
Syllabus
- Perceptrons
- Introduction
- Reusability in TensorFlow
- Monitoring and Evaluating
- Building regression and time series models
- Building Unsupervised Learning Models
- Tuning Deep Neural Network Models
- Consuming TensorFlow via Keras
- Advanced applications
Instructor
Sefik Ilkin Serengil
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