Machine Learning
218 learners
Building a Neural Network in TensorFlow
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.
Python
TensorFlow
5 lessons
25 practices
3 hours
Deep Learning and Neural Networks
Lessons and practices
Building a Sequential Model
Adjust Model Neurons and Activation
Fix the Neural Network Model
Adding Layers to Sequential Models
Creating a Model and Layers in TensorFlow
Flexible Neural Network Models
Modify Neural Network Parameters
Fix TensorFlow Function Errors
Flexible Neural Network Models Task
Creating Flexible TensorFlow Models
Training Neural Networks in TensorFlow
Changing Optimizer and Epochs
Fixing Model Compilation Errors
Implementing the Training Step
Compiling and Training a Neural Network
Making Predictions with TensorFlow
Adjusting Prediction Threshold in TensorFlow
Debugging Prediction of New Input for Trained Model
Predicting Student Outcomes with TensorFlow
Making Predictions with TensorFlow Models
Using TensorFlow to Evaluate a Model
Change the Evaluation Metric
Fix Neural Network Evaluation Code
Implement TensorFlow's Evaluate Method
Evaluating a TensorFlow Model
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