[PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application

[PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application

Other
Size
3.1 GB
Seeders
0
Leechers
1
Files
79
Category
Other
Added
07/23/19 at 2:43pm GMT+1
Infohash
3d7c30874d0b0bf65059dfc7af6382eca800db44

Description




Understand the Theory of how Chatbots work and implement them in Python and PyTorch! 



What you’ll learn 

 *  Understand the theory behind Sequence Modeling 

 *  Understand the theory of how Chatbots work 

 *  Undertand the theory of how RNNs and LSTMs work 

 *  Get Introduced to PyTorch 

 *  Implement a Chatbot in PyTorch 

 *  Undertand the theory of different Sequence Modeling Applications 



Requirements 

*   Some Basic High School Mathematics 

*   Some Basic Programming Knowledge 

*   Some basic Knowledge about Neural Networks 



Description 



In this course, you’ll learn the following: 



*   RNNs and LSTMs 

*   Sequence Modeling 

*   PyTorch 

*   Building a Chatbot in PyTorch 



We will first cover the theoretical concepts you need to know for building a Chatbot, which include RNNs, LSTMS and Sequence Models with Attention. 



Then we will introduce you to PyTorch, a very powerful and advanced deep learning Library. We will show you how to install it and how to work with it and with PyTorch Tensors. 



Then we will build our Chatbot in PyTorch! 



Please Note an important thing: If you don’t have prior knowledge on Neural Networks and how they work, you won’t be able to cope well with this course. Please note that this is not a Deep Learning course, it’s an Application of Deep Learning, as the course names implies (Applied Deep Learning: Build a Chatbot). The course level is Intermediate, and not Beginner. So please familiarize yourself with Neural Networks and it’s concepts before taking this course.  If you are already familiar, then your ready to start this journey! 



Who this course is for: 

 *  Anybody enthusiastic about Deep Learning Applications 



Source: PaidCoursesForFree.com

File list
  • [PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application
  • 1. Theory Part 1 - RNNs and LSTMs/1. Before we Start.html 1 KB
  • 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 79.4 MB
  • 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.vtt 12.7 KB
  • 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.mp4 67.8 MB
  • 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.vtt 9.9 KB
  • 1. Theory Part 1 - RNNs and LSTMs/4. Test Your Understanding.html 160 B
  • 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.mp4 71.6 MB
  • 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.vtt 10.9 KB
  • 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.mp4 66.7 MB
  • 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.vtt 10.7 KB
  • 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.mp4 23.5 MB
  • 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.vtt 3.9 KB
  • 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.mp4 22.8 MB
  • 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.vtt 4.6 KB
  • 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.mp4 43.6 MB
  • 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.vtt 10.3 KB
  • 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.mp4 40.1 MB
  • 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.vtt 7.1 KB
  • 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.mp4 36.8 MB
  • 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.vtt 8.1 KB
  • 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 72.9 MB
  • 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.vtt 12.6 KB
  • 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 77.7 MB
  • 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.vtt 13.2 KB
  • 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.mp4 68 MB
  • 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.vtt 68 MB
  • 4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 81.8 MB
  • 4. Practical Part 2 - Processing the Dataset/1. The Dataset.vtt 11.2 KB
  • 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 82.5 MB
  • 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.vtt 10.3 KB
  • 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.mp4 68.1 MB
  • 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.vtt 7.6 KB
  • 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 73.8 MB
  • 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.vtt 9.3 KB
  • 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 75.7 MB
  • 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.vtt 10.2 KB
  • 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.mp4 56.2 MB
  • 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.vtt 7.5 KB
  • 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 89.2 MB
  • 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.vtt 13.6 KB
  • 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 95.6 MB
  • 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.vtt 10.9 KB
  • 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 95.6 MB
  • 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.vtt 10.1 KB
  • 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.mp4 63.2 MB
  • 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.vtt 7.8 KB
  • 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 87.1 MB
  • 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.vtt 14.2 KB
  • 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.mp4 45.4 MB
  • 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.vtt 6.4 KB
  • 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.mp4 55 MB
  • 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.vtt 9.3 KB
  • 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 88.6 MB
  • 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.vtt 12.2 KB
  • 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 104.3 MB
  • 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.vtt 15.2 KB
  • 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.mp4 53.2 MB
  • 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.vtt 6.8 KB
  • 6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 242.2 MB
  • 6. Practical Part 4 - Building the Model/2. Defining the Encoder.vtt 28.1 KB
  • 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.mp4 59.1 MB
  • 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.vtt 8.4 KB
  • 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 151.5 MB
  • 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.vtt 18.3 KB
  • 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.mp4 127.3 MB
  • 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.vtt 16.7 KB
  • 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 160.2 MB
  • 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.vtt 20.4 KB
  • 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.mp4 67.5 MB
  • 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.vtt 7.4 KB
  • 7. Practical Part 5 - Training the Model/2. Teacher Forcing.mp4 48.9 MB
  • 7. Practical Part 5 - Training the Model/2. Teacher Forcing.vtt 7.3 KB
  • 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 131.9 MB
  • 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.vtt 16.4 KB
  • 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.mp4 113.1 MB
  • 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.vtt 12.7 KB
  • 7. Practical Part 5 - Training the Model/5. Training.mp4 122.9 MB
  • 7. Practical Part 5 - Training the Model/5. Training.vtt 14.4 KB
  • 7. Practical Part 5 - Training the Model/6. Proceeding.html 384 B

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
5.7 GB08/26/19354
682 MB07/23/1910
1.1 GB07/20/1901
559 MB07/20/1901
5.9 GB07/20/1901
339 MB07/20/1901
631 MB07/20/1901
3.2 GB07/21/1901
397 MB07/21/1901
459 MB07/23/1901
3.1 GB07/23/1901
1.6 GB07/24/1901
2.5 GB07/24/1901
7.7 GB07/25/1901
1.3 GB07/25/1901