Download TensorFlow Notebooks Here
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Quick Check for Notes
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Welcome to the Deep Learning Section!
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Introduction to Artificial Neural Networks (ANN)
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Installing Tensorflow
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Activation Functions
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Multi-Class Classification Considerations
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Cost Functions and Gradient Descent
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TensorFlow vs Keras
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TF Syntax Basics - Part One - Preparing the Data
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TF Syntax Basics - Part Two - Creating and Training the Model
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TF Syntax Basics - Part Three - Model Evaluation
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TF Regression Code Along - Exploratory Data Analysis
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TF Regression Code Along - Exploratory Data Analysis - Continued
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TF Regression Code Along - Data Preprocessing and Creating a Model
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TF Regression Code Along - Model Evaluation and Predictions
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TF Classification Code Along - EDA and Preprocessing
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TF Classification - Dealing with Overfitting and Evaluation
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TensorFlow 2.0 Project Options Overview
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TensorFlow 2.0 Project Notebook Overview
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Keras Project Solutions - Dealing with Missing Data
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Keras Project Solutions - Dealing with Missing Data - Part Two
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Keras Project Solutions - Categorical Data
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Keras Project Solutions - Data PreProcessing
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Keras Project Solutions - Data PreProcessing
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Keras Project Solutions - Creating and Training a Model
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Keras Project Solutions - Model Evaluation
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