Convolutional Neural Networks in Python. CNN Computer Vision

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About Course

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Course Content

01 Introduction

02 Setting up Python and Jupyter Notebook

03 Single Cells – Perceptron and Sigmoid Neuron

04 Neural Networks – Stacking cells to create network

05 Important concepts Common Interview questions

06 Standard Model Parameters

07 Tensorflow and Keras

08 Python – Dataset for classification problem

09 Python – Building and training the Model

10 Saving and Restoring Models

11 Hyperparameter Tuning

15 Project Creating CNN model from scratch

18 Transfer Learning in Python

19 Bonus Section

Instructors

LW

Luna Waters

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3737 Students
802 Courses
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