ML Fundamentals

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Bridging the Gap Between Academic and Industry Careers with Ross Fadely - #68

Where can I get the most out of my Python career? Data science? Web dev? Machine learning?

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C4W4L01 What is face recognition

C4W4L05 Face Verification

Change Keras backend to Theano

Keras prerequisites

What is a broker-dealer?

C4W4L03 Siamese Network

C4W4L02 One Shot Learning

C4W4L07 What are deep CNs learning?

C4W4L11 1D and 3D Generalizations

C4W4L10 Style Cost Function

C4W4L06 What is neural style transfer?

C4W4L09 Content Cost Function

C4W4L04 Triplet loss

C4W4L08 Cost Function

C4W3L03 Object Detection

C4W3L10 Region Proposals

C4W3L09 YOLO Algorithm

C4W3L06 Intersection Over Union

C4W3L01 Object Localization

C4W3L08 Anchor Boxes

C4W3L07 Nonmax Suppression

C4W3L04 Convolutional Implementation Sliding Windows

C4W3L02 Landmark Detection

C4W2L01 Why look at case studies?

C4W2L06 Inception Network Motivation

C4W2L09 Transfer Learning

C4W2L10 Data Augmentation

C4W2L07 Inception Network

C4W2L04 Why ResNets Work

C4W2L03 Resnets

C4W2L05 Network In Network

C4W2L11 State of Computer Vision

C4W2L08 Using Open Source Implementation

C4W2L02 Classic Network

C4W1L08 Simple Convolutional Network Example

C4W1L09 Pooling Layers

C4W1L01 Computer Vision

C4W1L06 Convolutions Over Volumes

C4W1L02 Edge Detection Examples

C4W1L03 More Edge Detection

C4W1L11 Why Convolutions

C4W1L10 CNN Example