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Deep Learning: Recurrent Neural Networks in Python
Welcome
Introduction and Outline (3:18)
Special Offer! Get the VIP version of this course (1:14)
Where to get the Code (8:26)
How to Succeed in this Course (5:51)
Google Colab
Intro to Google Colab, how to use a GPU or TPU for free (12:32)
Uploading your own data to Google Colab (11:41)
Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn? (8:54)
Machine Learning and Neurons
Review Section Introduction (2:37)
What is Machine Learning? (14:26)
Code Preparation (Classification Theory) (15:59)
Classification Notebook (8:40)
Code Preparation (Regression Theory) (7:18)
Regression Notebook (10:34)
The Neuron (9:58)
How does a model 'learn'? (10:53)
Making Predictions (6:45)
Saving and Loading a Model (4:27)
Suggestion Box (3:03)
Feedforward Artificial Neural Networks
Artificial Neural Networks Section Introduction (6:00)
Forward Propagation (9:40)
The Geometrical Picture (9:43)
Activation Functions (17:18)
Multiclass Classification (8:41)
How to Represent Images (12:36)
Code Preparation (ANN) (12:42)
ANN for Image Classification (8:36)
ANN for Regression (11:05)
Recurrent Neural Networks, Time Series, and Sequence Data
Sequence Data (18:27)
Forecasting (10:35)
Autoregressive Linear Model for Time Series Prediction (12:01)
Proof that the Linear Model Works (4:12)
Recurrent Neural Networks (21:34)
RNN Code Preparation (5:50)
RNN for Time Series Prediction (11:11)
Paying Attention to Shapes (8:27)
GRU and LSTM (pt 1) (16:09)
GRU and LSTM (pt 2) (11:36)
A More Challenging Sequence (9:19)
Demo of the Long Distance Problem (19:26)
RNN for Image Classification (Theory) (4:41)
RNN for Image Classification (Code) (4:00)
Stock Return Predictions using LSTMs (pt 1) (12:03)
Stock Return Predictions using LSTMs (pt 2) (5:45)
Stock Return Predictions using LSTMs (pt 3) (11:59)
Other Ways to Forecast (5:14)
Natural Language Processing (NLP)
Embeddings (13:12)
Code Preparation (NLP) (13:17)
Text Preprocessing (5:30)
Text Classification with LSTMs (8:19)
Appendix
What order should I take your courses in? (pt 1) (11:18)
What order should I take your courses in? (pt 2) (16:07)
How to Code by Yourself (part 1) (15:54)
How to Code by Yourself (part 2) (9:23)
How to Succeed in this Course (Long Version) (10:24)
BONUS: Where to get discount coupons and FREE deep learning material (5:31)
Extras
Links to Google Colab Notebooks
Intro to Google Colab, how to use a GPU or TPU for free
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