Complete Guide To Tensorflow For Deep Learning With Python

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Complete Guide To Tensorflow For Deep Learning With Python

Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques – Tensorflow For Deep Learning

What Will I 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 – Tensorflow For Deep Learning
Requirements
  • Some knowledge of programming (preferably Python)
  • Some basic knowledge of math (mean, standard deviation, etc..)

Description

IMPORTANT NOTE: THIS COURSE IS CURRENTLY IN EARLY BIRD RELEASE! STILL A LOT MORE MATERIAL TO COME!

Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!

This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!

This course covers a variety of topics, including

  • Neural Network Basics
  • TensorFlow Basics – Tensorflow For Deep Learning
  • Artificial Neural Networks
  • Densely Connected Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders – Tensorflow For Deep Learning
  • Reinforcement Learning
  • OpenAI Gym
  • and much more!

There are many Deep Learning Frameworks out there, so why use TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graphG represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!

Become a machine learning guru today! We’ll see you inside the course!

Who is the target audience?
  • Python students eager to learn the latest Deep Learning Techniques with TensorFlow
Created by Jose Portilla
Last updated 1/2018
English
English [Auto-generated]
 

Size: 2.25G

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Our Gdrive account which had the courses was deleted recently! So few users might face 404/Link not found issue. As there is nothing we can do to get those courses back, we request you to find other alternative courses on GFC uploaded after January 2020 as they are in torrent format. To get fastest speed try downloading recently uploaded courses!
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