Dive into TensorFlow to learn and build basic neural networks. This course covers key elements like layers, neurons, activation functions, and model training. Progress through hands-on code examples, ending with building and assessing a neural network for binary classification.
Overview
Syllabus
- Lesson 1: Initializing and Extending Neural Network Models in TensorFlow
- Lesson 2: Creating Flexible TensorFlow Models with Model-Building Functions
- Lesson 3: Compiling and Training Neural Networks with TensorFlow
- Lesson 4: From Training to Prediction: TensorFlow Models for Decision Making
- Lesson 5: Evaluating TensorFlow Models: From Data to Insight
Related Courses
-
Building a Neural Network in PyTorch
-
Introduction to Neural Networks with TensorFlow
-
TensorFlow fundamentals
-
Building Regression Models Using TensorFlow 1
-
TensorFlow Developer Certificate - Building and Training Neural Network Models using TensorFlow 2.X
-
Build, Train, and Deploy Your First Neural Network with TensorFlow
