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Computer Vision: Image Classification
May 26, 2019
What is Image Classification?
How does humans perform Image Classification?
What are some challenges in Image Classification?
What are some Neural Network architectures for computer vision?
What is fine grained Image classification?
Deep Learning With TF 2.0: 02.00- Linear Algebra
May 19, 2019
02.00 - Linear Algebra
02.01 - Scalars, Vectors, Matrices and Tensors
02.02 - Multiplying Matrices and Vectors
02.03 - Identity and Inverse Matrices
02.04 - Linear Dependence and Span
02.05 - Norms
02.06 - Special Kinds of Matrices and Vectors
02.07 - Eigendecomposition
02.08 - Singular Value Decomposition
02.09 - The Moore-Penrose Pseudoinverse
02.10 - The Trace Operator
02.11 - The Determinant
02.12 - Example: Principal Components Analysis
Computer Vision: Basic Image Processing
May 7, 2019
Why do we need to process images?
Where are the source of errors and image defects?
How can we improve low image contrast?
How do we evaluate the tone transfer in an image?
How do we improve the contrast in an image?
What can we use when linear correction can’t be applied?
How can we treat noisy images?
How are Filter Kernels used for Image Processing?
What is Edge Detection?
What is a Canny Edge Detector?
Deep Learning With TF 2.0: 01.00- Introduction
May 5, 2019
01.00 - Preface
01.01 - Introduction
01.02 - Who should read this book
01.03 - A Short History of Deep Learning
What it means to have Artificial Intelligence
Apr 1, 2019
What is Intelligence?
What is Artificial Intelligence?
How old really is AI?
Where does Machine Learning and Deep Learning fit into in AI?
Is Machine Learning or Deep Learning the only way forward?
What is an Artificial Intelligence Problem Look Like?
30 Jun 2019
Computer Vision: Object Detection
23 Jun 2019
Deep Learning With TF 2.0: 04.00- Numerical Computation
16 Jun 2019
Computer Vision: Face Recognition
09 Jun 2019
Computer Vision: Image Retrieval
02 Jun 2019
Deep Learning With TF 2.0: 03.00- Probability and Information Theory
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