Comprehensive Introduction to TensorflowBuilding 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.

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