Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python 01 Introduction
  • 001 Introduction-subtitle-en.srt (4.5 KB)
  • 001 Introduction.mp4 (12.0 MB)
  • 002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt (17.2 KB)
  • 002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 (16.4 MB)
  • 002 FULL-TENSORFLOW-NOTES-AND-DATA.zip (299.7 MB)
  • 003 FAQ - Frequently Asked Questions.html (1.5 KB)
  • 003 FULL-TENSORFLOW-NOTES-AND-DATA.zip (299.7 MB)
02 Installation and Setup
  • 004 Quick Note for MacOS and Linux Users.html (3.0 KB)
  • 005 Installing TensorFlow Environment-subtitle-en.srt (20.4 KB)
  • 005 Installing TensorFlow Environment.mp4 (27.8 MB)
03 What is Machine Learning_
  • 006 Machine Learning Overview-subtitle-en.srt (27.5 KB)
  • 006 Machine Learning Overview.mp4 (30.4 MB)
  • external_links.txt (0.1 KB)
04 Crash Course Overview
  • 007 Crash Course Section Introduction-subtitle-en.srt (2.0 KB)
  • 007 Crash Course Section Introduction.mp4 (2.2 MB)
  • 008 NumPy Crash Course-subtitle-en.srt (24.3 KB)
  • 008 NumPy Crash Course.mp4 (32.5 MB)
  • 009 Pandas Crash Course-subtitle-en.srt (6.9 KB)
  • 009 Pandas Crash Course.mp4 (9.0 MB)
  • 010 Data Visualization Crash Course-subtitle-en.srt (11.8 KB)
  • 010 Data Visualization Crash Course.mp4 (19.5 MB)
  • 011 SciKit Learn Preprocessing Overview-subtitle-en.srt (14.2 KB)
  • 011 SciKit Learn Preprocessing Overview.mp4 (20.3 MB)
  • 012 Crash Course Review Exercise-subtitle-en.srt (3.8 KB)
  • 012 Crash Course Review Exercise.mp4 (7.7 MB)
  • 013 Crash Course Review Exercise - Solutions-subtitle-en.srt (9.4 KB)
  • 013 Crash Course Review Exercise - Solutions.mp4 (17.4 MB)
05 Introduction to Neural Networks
  • 014 Introduction to Neural Networks-subtitle-en.srt (1.5 KB)
  • 014 Introduction to Neural Networks.mp4 (1.6 MB)
  • 015 Introduction to Perceptron-subtitle-en.srt (8.1 KB)
  • 015 Introduction to Perceptron.mp4 (6.8 MB)
  • 016 Neural Network Activation Functions-subtitle-en.srt (9.8 KB)
  • 016 Neural Network Activation Functions.mp4 (8.6 MB)
  • 017 Cost Functions-subtitle-en.srt (5.4 KB)
  • 017 Cost Functions.mp4 (5.0 MB)
  • 018 Gradient Descent Backpropagation-subtitle-en.srt (5.5 KB)
  • 018 Gradient Descent Backpropagation.mp4 (4.6 MB)
  • 019 TensorFlow Playground-subtitle-en.srt (15.9 KB)
  • 019 TensorFlow Playground.mp4 (27.2 MB)
  • 020 Manual Creation of Neural Network - Part One-subtitle-en.srt (9.1 KB)
  • 020 Manual Creation of Neural Network - Part One.mp4 (12.5 MB)
  • 021 Manual Creation of Neural Network - Part Two - Operations-subtitle-en.srt (11.9 KB)
  • 021 Manual Creation of Neural Network - Part Two - Operations.mp4 (11.4 MB)
  • 022 Manual Creation of Neural Network - Part Three - Placeholders and Variables-subtitle-en.srt (13.1 KB)
  • 022 Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 (13.3 MB)
  • 023 Manual Creation of Neural Network - Part Four - Session-subtitle-en.srt (13.9 KB)
  • 023 Manual Creation of Neural Network - Part Four - Session.mp4 (25.2 MB)
  • 024 Manual Neural Network Classification Task-subtitle-en.srt (25.0 KB)
  • 024 Manual Neural Network Classification Task.mp4 (40.5 MB)
  • external_links.txt (0.1 KB)
06 TensorFlow Basics
  • 025 Introduction to TensorFlow-subtitle-en.srt (2.3 KB)
  • 025 Introduction to TensorFlow.mp4 (2.0 MB)
  • 026 TensorFlow Basic Syntax-subtitle-en.srt (20.6 KB)
  • 026 TensorFlow Basic Syntax.mp4 (19.0 MB)
  • 027 TensorFlow Graphs-subtitle-en.srt (9.0 KB)
  • 027 TensorFlow Graphs.mp4 (8.5 MB)
  • 028 Variables and Placeholders-subtitle-en.srt (9.3 KB)
  • 028 Variables and Placeholders.mp4 (12.8 MB)
  • 029 TensorFlow - A Neural Network - Part One-subtitle-en.srt (11.4 KB)
  • 029 TensorFlow - A Neural Network - Part One.mp4 (11.6 MB)
  • 030 TensorFlow - A Neural Network - Part Two-subtitle-en.srt (29.9 KB)
  • 030 TensorFlow - A Neural Network - Part Two.mp4 (32.5 MB)
  • 031 TensorFlow Regression Example - Part One-subtitle-en.srt (29.9 KB)
  • 031 TensorFlow Regression Example - Part One.mp4 (30.1 MB)
  • 032 TensorFlow Regression Example _ Part Two-subtitle-en.srt (34.0 KB)
  • 032 TensorFlow Regression Example _ Part Two.mp4 (57.8 MB)
  • 033 TensorFlow Classification Example - Part One-subtitle-en.srt (20.5 KB)
  • 033 TensorFlow Classification Example - Part One.mp4 (23.8 MB)
  • 034 TensorFlow Classification Example - Part Two-subtitle-en.srt (17.6 KB)
  • 034 TensorFlow Classification Example - Part Two.mp4 (31.9 MB)
  • 035 TF Regression Exercise-subtitle-en.srt (5.5 KB)
  • 035 TF Regression Exercise.mp4 (8.0 MB)
  • 036 TF Regression Exercise Solution Walkthrough-subtitle-en.srt (17.8 KB)
  • 036 TF Regression Exercise Solution Walkthrough.mp4 (27.8 MB)
  • 037 TF Classification Exercise-subtitle-en.srt (7.9 KB)
  • 037 TF Classification Exercise.mp4 (9.0 MB)
  • 038 TF Classification Exercise Solution Walkthrough-subtitle-en.srt (17.4 KB)
  • 038 TF Classification Exercise Solution Walkthrough.mp4 (21.7 MB)
  • 039 Saving and Restoring Models-subtitle-en.srt (10.5 KB)
  • 039 Saving and Restoring Models.mp4 (15.4 MB)
  • external_links.txt (0.2 KB)
07 Convolutional Neural Networks
  • 040 Introduction to Convolutional Neural Network Section-subtitle-en.srt (1.3 KB)
  • 040 Introduction to Convolutional Neural Network Section.mp4 (1.2 MB)
  • 041 Review of Neural Networks-subtitle-en.srt (4.0 KB)
  • 041 Review of Neural Networks.mp4 (3.4 MB)
  • 042 New Theory Topics-subtitle-en.srt (23.3 KB)
  • 042 New Theory Topics.mp4 (19.7 MB)
  • 043 Quick note on MNIST lecture.html (1.2 KB)
  • 044 MNIST Data Overview-subtitle-en.srt (6.6 KB)
  • 044 MNIST Data Overview.mp4 (6.6 MB)
  • 045 MNIST Basic Approach Part One-subtitle-en.srt (13.2 KB)
  • 045 MNIST Basic Approach Part One.mp4 (12.1 MB)
  • 046 MNIST Basic Approach Part Two-subtitle-en.srt (24.7 KB)
  • 046 MNIST Basic Approach Part Two.mp4 (34.9 MB)
  • Description



    Udemy - Complete Guide to TensorFlow for Deep Learning with Python

    his 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.

    For more Udemy Courses: https://freecoursesite.com



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Udemy - Complete Guide to TensorFlow for Deep Learning with Python


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2.3 GB
seeders:10
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Udemy - Complete Guide to TensorFlow for Deep Learning with Python


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