How To Do Image Recognition with Neural Networks
Intro - How To Do Image Recognition with Neural Networks
with Sebagam
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Intro - How To Do Image Recognition with Neural Networks
Mar 26, 2020 | 10:01 PM2:9
Session 1: Neuroscience Meets Data Science
Mar 26, 2020 | 10:04 PM13:42
Session 2.1: Data Preparation
Mar 26, 2020 | 10:07 PM18:43
Session 2.2: Model Setting and Data Augmentation
Mar 26, 2020 | 10:07 PM25:29
Session 2.3: Training the Model
Mar 26, 2020 | 10:07 PM5:44
Session 2.4: Results
Mar 26, 2020 | 10:07 PM24:37
Session 3.1: A Deeper Dive Into CNNs
Mar 26, 2020 | 10:08 PM19:47
Session 3.2: Data Prep and Training
Mar 26, 2020 | 10:08 PM19:31
Session 3.3: Testing
Mar 26, 2020 | 10:08 PM27:36
Session 4: A ResNet-50 Implementation With Keras
Mar 26, 2020 | 10:09 PM27:5
How To Do Image Recognition with Neural Networks
- English
- Artificial Intelligence
Computer Vision- Project length: 3h 04m
Through this series, I will begin with a brief introduction of Artificial Vision, and then build a Deep Learning image classification algorithm for computerized tomography.
Overview
Introduction
We will cover the following topics: 1) Intro to neural networks and artificial vision. 2) How to code a Digit Recognizer in Python. 3) Coding a Medical Imaging classifier. 4) Resnet-50 with Keras example.
What are the requirements?
- Basic Knowledge of Python
Project Outline
The project outline explains what you will learn in each session
1) The neural networks in the brain 2) The visual cortex 3) A brief intro to deep learning 4) Intro to Artificial Vision 5) Coding an image recognizer in Python