Udemy - Applied Deep Learning: Build a Chatbot Full Course Learn Online Free Download

Udemy - Applied Deep Learning: Build a Chatbot Full Course Learn Online Free Download 2019-05-27

Applied Deep Learning: Build a Chatbot
Udemy Course Free Download

udemy applied deeplearning

Signup to Download

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
  • Some Basic High School Mathematics
  • Some Basic Programming Knowledge
  • Some basic Knowledge about Neural Networks
Course content

–Theory Part 1 - RNNs and LSTMs

  • Before we Start
  • Introduction to RNNs Part 1
  • Introduction to RNNs Part 2
  • Test Your Understanding
  • Playing with the Activations
  • LSTMs
  • LSTM Variants
  • LSTM Step-by-Step Example Walktrough
–Theory Part 2 - Sequence Modeling
  • Sequence-to-Sequence Models
  • Attention Mechanisms
  • How Attention Mechanisms Work
  • –Practical Part 1 - Introduction to PyTorch
  • Installing PyTorch and an Introduction
  • Torch Tensors Part 1
  • Torch Tensors Part 2
–Practical Part 2 - Processing the Dataset
  • The Dataset
  • Processing the Dataset Part 1
  • Processing the Data Part 2
  • Processing the Dataset Part 3
  • Processing the Dataset Part 4
  • Processing the Words
  • Processing the Text
  • Processing the Text Part 2
  • Filtering the Text
  • Getting Rid of Rare Words
-Practical Part 3 - Data Preperation
  • Preparing the Data for Model Part 1
  • Understanding the zip function
  • Preparing the Data for Model Part 2
  • Preparing the Data for Model Part 3
  • Preparing the Data for Model Part 4
–Practical Part 4 - Building the Model
  • Understanding the Encoder
  • Defining the Encoder
  • Understanding Pack Padded Sequence
  • Designing the Attention Model
  • Designing the Decoder Part 1
  • Designing the Decoder Part 2
–Practical Part 5 - Training the Model
  • Creating the Loss Function
  • Teacher Forcing
  • Visualize Training Part 1
  • Visualize Training Part 2
  • Training
  • Proceeding

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
udemy applied deep learning

applied deep learning columbia, applied deep learning weights and biases, applied deep learning with python, applied deep learning with pytorch, applied deep learning research, applied deep learning - part 3, applied deep learning book, applied deep learning course, applied deep learning - part 5, applied deep learning apress, deep learning applied to acoustic echo cancellation, deep learning an introduction for applied mathematicians, applied deep learning bristol, deep learning-based super-resolution applied to dental computed tomography, deep learning algorithms applied to blockchain-based financial time series, applied deep learning the complete self-driving car course, applied-deep-learning-1103-convolutional-neural-networks, applied deep learning with tensorflow and google cloud ai, deep learning applied to cyber security, applied deep learning for nlp tum, deep learning for applied mathematicians, deep learning applied to finance, deep learning applied to forecasting fx spot movements, applied deep learning with python github, applied deep learning with pytorch hyatt saleh, applied ai with deeplearning ibm watson, applied ai with deep learning ibm github, ibm applied deep learning scientist, deep learning applied in, deep learning applied mathematics, applied materials deep learning, deep learning applied to underwater mine warfare, nvidia applied deep learning research, deep learning applied to nlp, adiabatic quantum computation applied to deep learning networks, applied deep learning part 1, applied deep learning pdf, applied deep learning with python pdf, deep reinforcement learning applied to real time strategy games, deep learning applied summit, applied deep learning tum, applied deep learning, applied deep learning part 2, applied machine learning, best machine learning course, best machine learning course online, best way to learn machine learning, deep learning game, deep learning with python book, introduction to machine learning, learn machine learning, learn machine learning online, learn python, machine learning, machine learning algorithms, machine learning applications, machine learning course, machine learning examples, machine learning in finance, machine learning online course, machine learning problems, machine learning techniques, machine learning training, machine learning using python, machine learning with r, manning deep learning with python, multi layer neural network, online learning machine learning, online machine learning, python machine learning, udemy chatbot
First release
Last update
0.00 star(s) 0 ratings

More resources from murugans1011

Share this resource