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AI: Machine Learning with TensorFlow
Section 1 Welcome
Lecture 1 Intro to Deep Learning (3:52)
Lecture 2 Installation on Mac OSX (3:42)
Lecture 3 Installation on Windows – Pre-Requisite Virtual Machine Setup (2:39)
Lecture 4 Installation on Windows and Linux (3:49)
Section 2 Your First Classifier
Lecture 5 The Hand-Written Letters Dataset (2:48)
Lecture 6 Automating Data Preparation (3:02)
Lecture 7 Understanding Matrix Conversions (5:20)
Lecture 8 The Machine Learning Life Cycle (1:40)
Lecture 9 Reviewing Outputs and Results (2:42)
Section 3 The TensorFlow Toolbox
Lecture 10 Getting Started with TensorBoard (4:48)
Lecture 11 TensorBoard Events and Histograms (5:14)
Lecture 12 The Graph Explorer (5:00)
Lecture 13 Our Previous Project on TensorBoard (4:48)
Section 4 Convolutional Neural Networks and Summary
Lecture 14 Fully Connected Neural Networks (4:32)
Lecture 15 Convolutional Neural Networks (4:54)
Lecture 16 Programming a CNN (5:00)
Lecture 17 Using TensorBoard on Our CNN (1:57)
Lecture 18 CNN Versus Fully Connected Network Performance (1:52)
Working Files
Working Files
Lecture 9 Reviewing Outputs and Results
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