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Advanced NLP and Sequence Models with Deep Learning
Welcome to Advanced NLP and RNNs
Introduction (2:41)
Special Offer! Get the VIP version of this course (1:14)
Outline (3:40)
Where to get the code (4:45)
Where to get help (2:06)
Review of Recurrent Neural Networks, Convolutional Neural Networks, and Word Embeddings
Review Section Introduction (4:24)
What is a word embedding? (15:10)
Using word embeddings (4:33)
What is a CNN? (13:36)
Where to get the data (5:06)
CNN Code (part 1) (15:08)
CNN Code (part 2) (6:14)
What is an RNN? (13:11)
GRUs and LSTMs (10:47)
Different Types of RNN Tasks (12:27)
A Simple RNN Experiment (6:29)
RNN Code (3:25)
Review Section Summary (4:49)
Bidirectional RNNs
Bidirectional RNNs Motivation (8:31)
Bidirectional RNN Experiment (5:09)
Bidirectional RNN Code (2:33)
Image Classification with Bidirectional RNNs (6:12)
Image Classification Code (5:45)
Bidirectional RNNs Section Summary (2:36)
Sequence-to-sequence models (Seq2Seq)
Seq2Seq Theory (7:29)
Seq2Seq Applications (3:27)
Decoding in Detail and Teacher Forcing (6:47)
Poetry Revisited (3:28)
Poetry Revisited Code 1 (8:29)
Poetry Revisited Code 2 (6:58)
Seq2Seq in Code 1 (7:55)
Seq2Seq in Code 2 (5:14)
Seq2Seq Section Summary (3:04)
Attention
Attention Section Introduction (2:28)
Attention Theory (18:04)
Teacher Forcing (2:09)
Helpful Implementation Details (11:21)
Attention Code 1 (9:48)
Attention Code 2 (3:50)
Visualizing Attention (2:26)
Building a Chatbot without any more Code (10:31)
Attention Section Summary (3:33)
Stock Predictions
Stock Predictions Section Introduction (4:51)
Making the Dataset (5:19)
Forecasting (7:29)
A Simple Time Series (9:58)
Naive Forecast (8:27)
Stock Prediction (pt 1) (3:45)
Stock Prediction (pt 2) (6:04)
Stock Prediction (pt 3) (4:50)
Stock Prediction (pt 4) (2:02)
Stock Predictions Section Summary (5:35)
Basics Review
(Review) Keras Discussion (6:48)
(Review) Keras Neural Network in Code (6:37)
(Review) How to easily convert Keras into Tensorflow 2.0 code (1:49)
Appendix
What is the Appendix? (2:48)
Windows-Focused Environment Setup 2018 (20:20)
How to How to install Numpy, Theano, Tensorflow, etc... (17:30)
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced? (22:04)
How to Succeed in this Course (Long Version) (10:24)
How to Code by Yourself (part 1) (15:54)
How to Code by Yourself (part 2) (9:23)
Proof that using Jupyter Notebook is the same as not using it (12:29)
Python 2 vs Python 3 (4:38)
What order should I take your courses in? (part 1) (11:18)
What order should I take your courses in? (part 2) (16:07)
BONUS: Where to get discount coupons and FREE deep learning material (5:31)
GRUs and LSTMs
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