17 OCT 2024 - Welcome Back to TorrentFunk! Get your pirate hat back out. Streaming is dying and torrents are the new trend. Account Registration works again and so do Torrent Uploads. We invite you all to start uploading torrents again!
TORRENT DETAILS
[UdemyCourseDownloader] Deep Learning Recurrent Neural Networks In Python
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences
Like the course I just released on Hidden Markov Models, Recurrent Neural Networks are all about learning sequences – but whereas Markov Models are limited by the Markov assumption, Recurrent Neural Networks are not – and as a result, they are more expressive, and more powerful than anything we’ve seen on tasks that we haven’t made progress on in decades.
So what’s going to be in this course and how will it build on the previous neural network courses and Hidden Markov Models?
In the first section of the course we are going to add the concept of time to our neural networks.
I’ll introduce you to the Simple Recurrent Unit, also known as the Elman unit.
We are going to revisit the XOR problem, but we’re going to extend it so that it becomes the parity problem – you’ll see that regular feedforward neural networks will have trouble solving this problem but recurrent networks will work because the key is to treat the input as a sequence.
In the next section of the course, we are going to revisit one of the most popular applications of recurrent neural networks – language modeling.
You saw when we studied Markov Models that we could do things like generate poetry and it didn’t look too bad. We could even discriminate between 2 different poets just from the sequence of parts-of-speech tags they used.
In this course, we are going to extend our language model so that it no longer makes the Markov assumption.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
1. Introduction and Outline/1. Outline of this Course.mp4
4.9 MB
1. Introduction and Outline/1. Outline of this Course.vtt
4.3 KB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4
5.7 MB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.vtt
4.6 KB
1. Introduction and Outline/3. Where to get the Code and Data.mp4
3.1 MB
1. Introduction and Outline/3. Where to get the Code and Data.vtt
2.3 KB
1. Introduction and Outline/4. How to Succeed in this Course.mp4
3.3 MB
1. Introduction and Outline/4. How to Succeed in this Course.vtt
3.7 KB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4
7.7 MB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.vtt
6 KB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4
9 MB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.vtt
6.8 KB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4
3.2 MB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.vtt
2.4 KB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4
7.1 MB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).vtt
5.5 KB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4
7.8 MB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.vtt
5.6 KB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4
38.3 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.vtt
10.3 KB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4
23.8 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.vtt
11.3 KB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4
37.5 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.vtt
10.9 KB
2. The Simple Recurrent Unit/9. On Adding Complexity.mp4
2.4 MB
2. The Simple Recurrent Unit/9. On Adding Complexity.vtt
1.6 KB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4
8.7 MB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.vtt
6.7 KB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4
4.2 MB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.vtt
3.2 KB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4
5.4 MB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.vtt
3.9 KB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4
7.5 MB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.vtt
5.4 KB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4
52.4 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).vtt
13 KB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4
13.6 MB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).vtt
2.9 KB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4
6.3 MB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.vtt
4.3 KB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4
45.9 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.vtt
11.1 KB
4. Advanced RNN Units/1. Rated RNN Unit.mp4
6.1 MB
4. Advanced RNN Units/1. Rated RNN Unit.vtt
4.6 KB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4
25.6 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).vtt
5.6 KB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4
23.5 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.vtt
![[UdemyCourseDownloader] Deep Learning Recurrent Neural Networks in Python](https://f.t0r.site/no-cover.webp)
