Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python 1. Introduction
  • 1. Introduction.mp4 (12.0 MB)
  • 1. Introduction.srt (4.4 KB)
  • 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 (16.4 MB)
  • 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt (16.5 KB)
  • 2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip (299.7 MB)
  • 3. FAQ - Frequently Asked Questions.html (0.4 KB)
  • 3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip (299.7 MB)
10. AutoEncoders
  • 1. Autoencoder Basics.mp4 (13.9 MB)
  • 1. Autoencoder Basics.srt (12.9 KB)
  • 1.1 05-Autoencoders.zip.zip (7.9 MB)
  • 1.2 Autoencoder Slides.html (0.2 KB)
  • 2. Dimensionality Reduction with Linear Autoencoder.mp4 (37.6 MB)
  • 2. Dimensionality Reduction with Linear Autoencoder.srt (25.1 KB)
  • 3. Linear Autoencoder PCA Exercise Overview.mp4 (6.2 MB)
  • 3. Linear Autoencoder PCA Exercise Overview.srt (2.8 KB)
  • 4. Linear Autoencoder PCA Exercise Solutions.mp4 (22.9 MB)
  • 4. Linear Autoencoder PCA Exercise Solutions.srt (11.3 KB)
  • 5. Stacked Autoencoder.mp4 (43.9 MB)
  • 5. Stacked Autoencoder.srt (28.2 KB)
11. Reinforcement Learning with OpenAI Gym
  • 1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 (8.0 MB)
  • 1. Introduction to Reinforcement Learning with OpenAI Gym.srt (6.5 KB)
  • 1.1 06-Reinforcement-Learning-OpenAI.zip.zip (10.6 KB)
  • 1.2 Reinforcement Learning Slides.html (0.2 KB)
  • 10. Policy Gradient Code Along Part One.mp4 (26.0 MB)
  • 10. Policy Gradient Code Along Part One.srt (16.5 KB)
  • 11. Policy Gradient Code Along Part Two.mp4 (32.9 MB)
  • 11. Policy Gradient Code Along Part Two.srt (16.8 KB)
  • 2. Extra Resources for Reinforcement Learning.html (1.2 KB)
  • 3. Introduction to OpenAI Gym.mp4 (13.9 MB)
  • 3. Introduction to OpenAI Gym.srt (9.0 KB)
  • 4. OpenAI Gym Steup.mp4 (14.8 MB)
  • 4. OpenAI Gym Steup.srt (11.8 KB)
  • 5. Open AI Gym Env Basics.mp4 (10.0 MB)
  • 5. Open AI Gym Env Basics.srt (9.3 KB)
  • 6. Open AI Gym Observations.mp4 (15.4 MB)
  • 6. Open AI Gym Observations.srt (13.4 KB)
  • 7. OpenAI Gym Actions.mp4 (14.8 MB)
  • 7. OpenAI Gym Actions.srt (12.7 KB)
  • 8. Simple Neural Network Game.mp4 (35.8 MB)
  • 8. Simple Neural Network Game.srt (23.6 KB)
  • 9. Policy Gradient Theory.mp4 (13.7 MB)
  • 9. Policy Gradient Theory.srt (11.9 KB)
12. GAN - Generative Adversarial Networks
  • 1. Introduction to GANs.mp4 (13.5 MB)
  • 1. Introduction to GANs.srt (11.0 KB)
  • 2. GAN Code Along - Part One.mp4 (19.5 MB)
  • 2. GAN Code Along - Part One.srt (13.2 KB)
  • 3. GAN Code Along - Part Two.mp4 (29.3 MB)
  • 3. GAN Code Along - Part Two.srt (16.1 KB)
  • 4. GAN Code Along - Part Three.mp4 (27.6 MB)
  • 4. GAN Code Along - Part Three.srt (16.2 KB)
13. BONUS
  • 1. Bonus Lecture.html (0.5 KB)
2. Installation and Setup
  • 1. Quick Note for MacOS and Linux Users.html (2.0 KB)
  • 2. Installing TensorFlow and Environment Setup.mp4 (27.8 MB)
  • 2. Installing TensorFlow and Environment Setup.srt (19.6 KB)
3. What is Machine Learning
  • 1. Machine Learning Overview.mp4 (30.4 MB)
  • 1. Machine Learning Overview.srt (26.6 KB)
  • 1.1 ML Overview Slides.html (0.2 KB)
4. Crash Course Overview
  • 1. Crash Course Section Introduction.mp4 (2.2 MB)
  • 1. Crash Course Section Introduction.srt (1.9 KB)
  • 2. NumPy Crash Course.mp4 (32.5 MB)
  • 2. NumPy Crash Course.srt (23.3 KB)
  • 3. Pandas Crash Course.mp4 (9.0 MB)
  • 3. Pandas Crash Course.srt (6.7 KB)
  • 4. Data Visualization Crash Course.mp4 (19.5 MB)
  • 4. Data Visualization Crash Course.srt (11.4 KB)
  • 5. SciKit Learn Preprocessing Overview.mp4 (20.3 MB)
  • 5. SciKit Learn Preprocessing Overview.srt (13.7 KB)
  • 6. Crash Course Review Exercise.mp4 (7.7 MB)
  • 6. Crash Course Review Exercise.srt (3.6 KB)
  • 7. Crash Course Review Exercise - Solutions.mp4 (17.4 MB)
  • 7. Crash Course Review Exercise - Solutions.srt (9.1 KB)
5. Introduction to Neural Networks
  • 1. Introduction to Neural Networks.mp4 (1.6 MB)
  • 1. Introduction to Neural Networks.srt (1.5 KB)
  • 1.1 Introduction to NN Slides.html (0.2 KB)
  • 10. Manual Creation of Neural Network - Part Four - Session.mp4 (25.2 MB)
  • 10. Manual Creation of Neural Network - Part Four - Session.srt (13.4 KB)
  • 11. Manual Neural Network Classification Task.mp4 (40.5 MB)
  • 11. Manual Neural Network Classification Task.srt (24.1 KB)
  • 2. Introduction to Perceptron.mp4 (6.8 MB)
  • 2. Introduction to Perceptron.srt (7.8 KB)
  • 3. Neural Network Activation Functions.mp4 (8.6 MB)
  • 3. Neural Network Activation Functions.srt (9.5 KB)
  • 4. Cost Functions.mp4 (5.0 MB)
  • 4. Cost Functions.srt (5.2 KB)
  • 5. Gradient Descent Backpropagation.mp4 (4.6 MB)
  • 5. Gradient Descent Backpropagation.srt (5.3 KB)
  • 6. TensorFlow Playground.mp4 (27.2 MB)
  • 6. TensorFlow Playground.srt (15.3 KB)
  • 7. Manual Creation of Neural Network - Part One.mp4 (12.5 MB)
  • 7. Manual Creation of Neural Network - Part One.srt (8.7 KB)
  • 8. Manual Creation of Neural Network - Part Two - Operations.mp4 (11.4 MB)
  • 8. Manual Creation of Neural Network - Part Two - Operations.srt (11.5 KB)
  • 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 (13.3 MB)
  • 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt (12.6 KB)
6. TensorFlow Basics
  • 1. Introduction to TensorFlow.mp4 (2.0 MB)
  • 1. Introduction to TensorFlow.srt (2.2 KB)
  • 1.1 TF Basics Slides.html (0.2 KB)
  • 10. TensorFlow Classification Example - Part Two.mp4 (31.9 MB)
  • 10. TensorFlow Classification Exampl

Description

Udemy - Complete Guide to TensorFlow for Deep Learning with Python



Description

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
Artificial Neural Networks
Densely Connected Networks
Convolutional Neural Networks
Recurrent Neural Networks
AutoEncoders
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 graph 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 this course is for:
Python students eager to learn the latest Deep Learning Techniques with TensorFlow

Created by Jose Portilla
Last updated 9/2019
English
English [Auto-generated]



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Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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Download torrent
2.3 GB
seeders:9
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Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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