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Complete Guide to TensorFlow for Deep Learning with Python

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About Course

Get started with Deep Learning with this **free** TensorFlow course. Learn how to use TensorFlow for building artificial neural networks. This course is offered for **free** by Udemy, and covers all the essentials of using TensorFlow.

This comprehensive course will teach you all the fundamentals of TensorFlow, a popular framework for deep learning. You’ll learn about neural network basics, TensorFlow basics, artificial neural networks, densely connected networks, convolutional neural networks, recurrent neural networks, autoencoders, reinforcement learning, OpenAI Gym and much more.

With this **free** TensorFlow course, you’ll get access to:

  • Jupyter notebook guides for code
  • Easy-to-reference slides and notes
  • Plenty of exercises to test your skills.

Learn from a complete guide to TensorFlow and explore the latest techniques in deep learning. Start learning TensorFlow today for free and become a machine learning expert.

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What Will You Learn?

  • Understand how Neural Networks Work
  • Build your own Neural Network from Scratch with Python
  • Use TensorFlow for Classification and Regression Tasks
  • Use TensorFlow for Image Classification with Convolutional Neural Networks
  • Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
  • Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
  • Learn how to conduct Reinforcement Learning with OpenAI Gym
  • Create Generative Adversarial Networks with TensorFlow
  • Become a Deep Learning Guru!

Course Content

Introduction

  • A Message from the Professor
  • Introduction
    03:04
  • Course Overview — PLEASE DON’T SKIP THIS LECTURE! Thanks )
    09:24

Installation and Setup

What is Machine Learning

Crash Course Overview

Introduction to Neural Networks

TensorFlow Basics

Convolutional Neural Networks

Recurrent Neural Networks

Miscellaneous Topics

AutoEncoders

Reinforcement Learning with OpenAI Gym

GAN – Generative Adversarial Networks

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ZA
3 weeks ago
This course is good

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