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Artificial intelligence

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Computer vision

Computer vision (24h) Introduction to Computer Vision CNN Architecture Padding & Stride Convolutions Pooling Layers Convolutional Neural Networks & Datasets Multiclass classification Object Detection Non-max

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Artificial Neural Networks

Artificial Neural Networks (20h) Difference between AI, DL, ML and ANN Introduction to Neural Networks Deep Learning with Pytorch Linear Regression Binary Classification Logistic Regression

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Machine learning

Machine learning Diploma     Module one: Python (24h) Basics o Why python? o python with AI and ML o Input & Output o Variables

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Python
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Python

Course content : 24 hr History why python? python with AI and ML Input & Output Variables Boolean & Comparison and Logic If Conditions For

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Deep Learning
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Deep Learning

Deep Learning diploma  80 HR Module one: Python why python? python with AI and ML Input & Output Variables Data types Boolean & Comparison and

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