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Tensorflow for Beginners

Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs an...

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Course Description

Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs and helps fulfill them to their best ability. TensorFlow plans a huge role in this future. What is TensorFlow? TensorFlow is an open-source library that is commonly used for data flow programming....

Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs and helps fulfill them to their best ability. TensorFlow plans a huge role in this future. What is TensorFlow? TensorFlow is an open-source library that is commonly used for data flow programming. However, it also includes a symbolic math library that can be used for machine learning applications and neural networking. Developed by the Google Brain team, TensorFlow is already playing a huge role in helping machines advance. This is why it is one of the most important technologies that people should definitely learn to advance their career. And thats why we have built an entire course around it. While other courses often just brush up on TensorFlow and their basics, they leave you either confused for wanting more. This is why we have designed a complete tutorial that shows you the ins and outs of TensorFlow, including the foundation, lifecycle, TensorBoard, and so much more.

What you’ll learn
  • A detailed introduction into TensorFlow
  • Familiarity with TensorFlow Foundation
  • Machine Learning Lifecycle and TensorBoard
  • Logistic Regression & Neural Networks Basics
  • Single & Multiple Hidden Layer Neural Networks
  • Convolutional Neural Networks
  • Deep Learning

Covering Topics

1
Section 1 : Introduction
2
Section 2 : Tensorflow Foundations
3
Section 3 : ML lifecycle & TensorBoard
4
Section 4 : The Machine Learning Lifecycle & Using TensorBoard
5
Section 5 : Logistic Regression & NN Basics
6
Section 6 : Single & Multiple Hidden Layer NNs
7
Section 7 : Convolutional NNs
8
Section 8 : Deep Learning
9
Section 9 : Final Project

Curriculum

      Section 1 : Introduction
1
Introduction Preview
      Section 2 : Tensorflow Foundations
2
Tensor flow Foundations Part 1
3
Tensor flow Foundations Part 2
      Section 3 : ML lifecycle & TensorBoard
4
The Machine Learning Lifecycle Part 1 Preview
5
The Machine Learning Lifecycle Part 2
      Section 4 : The Machine Learning Lifecycle & Using TensorBoard
6
Tensor Board - Part 1
7
Tensor Board - Part 2
      Section 5 : Logistic Regression & NN Basics
8
Part 1 Preview
9
Part 2
      Section 6 : Single & Multiple Hidden Layer NNs
10
Part 1
11
Part 2
12
Part 3
      Section 7 : Convolutional NNs
13
CNN - Part 1 Preview
14
CNN - Part 2
15
CNN - Part 3
      Section 8 : Deep Learning
16
Deep Learning - Part 1
17
Deep Learning - Part 2
      Section 9 : Final Project
18
Problem statement
19
Code Solution

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