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TensorFlow 2.0 Tutorial - Deep Learning

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Overview

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This beginner course introduces TensorFlow for deep learning, covering tensors, neural-network fundamentals, installation, and hands-on model development. Projects include handwritten-digit classification with MNIST and binary image classification using convolutional neural networks.

Syllabus

Introduction.
Agenda.
Introduction to TensorFlow.
What are Tensors?.
How to install TensorFlow?.
Introduction to Neural Networks.
Mathematics behind Neural Networks.
Getting started with TensorFlow.
Hands-on sessions using TensorFlow.
Digit classification using MNIST dataset.
How does a Convolutional Neural Network work?.
Binary image classifier with CNNs.
Summary.

Taught by

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