Udemy Deep Learning Recurrent Neural Networks in Python 06 2021 | 2DD76F6F5972E094CA6F0C00D5E4EBEA702A46B8

Udemy Deep Learning Recurrent Neural Networks in Python 06 2021

Name	[Udemy] Deep Learning Recurrent Neural Networks in Python (06.2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	150
Hash	2DD76F6F5972E094CA6F0C00D5E4EBEA702A46B8

/1. Welcome/
1. Introduction and Outline-en_US.srt	4.5 KB
1. Introduction and Outline.mp4	33.0 MB
2. External URLs.txt	0.1 KB
2. Where to get the Code-en_US.srt	12.2 KB
2. Where to get the Code.mp4	34.0 MB
3. How to Succeed in this Course-en_US.srt	8.1 KB
3. How to Succeed in this Course.mp4	49.1 MB
/10. Setting Up Your Environment (FAQ by Student Request)/
1. Windows-Focused Environment Setup 2018-en_US.srt	19.5 KB
1. Windows-Focused Environment Setup 2018.mp4	323.9 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt	14.0 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	201.3 MB
/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/
1. How to Code by Yourself (part 1)-en_US.srt	22.2 KB
1. How to Code by Yourself (part 1).mp4	98.1 MB
2. How to Code by Yourself (part 2)-en_US.srt	13.1 KB
2. How to Code by Yourself (part 2).mp4	30.7 MB
3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt	13.8 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	113.7 MB
4. Python 2 vs Python 3-en_US.srt	6.0 KB
4. Python 2 vs Python 3.mp4	10.9 MB
/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/
1. How to Succeed in this Course (Long Version)-en_US.srt	14.5 KB
1. How to Succeed in this Course (Long Version).mp4	26.1 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt	31.4 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	63.1 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt	16.4 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	141.5 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt	23.2 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	142.9 MB
/13. Appendix FAQ Finale/
1. What is the Appendix-en_US.srt	3.7 KB
1. What is the Appendix.mp4	9.3 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material-en_US.srt	7.7 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.6 MB
/2. Google Colab/
1. Intro to Google Colab, how to use a GPU or TPU for free-en_US.srt	14.0 KB
1. Intro to Google Colab, how to use a GPU or TPU for free.mp4	75.0 MB
2. Uploading your own data to Google Colab-en_US.srt	11.8 KB
2. Uploading your own data to Google Colab.mp4	108.3 MB
3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn-en_US.srt	11.1 KB
3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4	24.5 MB
/3. Machine Learning and Neurons/
1. Review Section Introduction-en_US.srt	3.6 KB
1. Review Section Introduction.mp4	7.9 MB
10. The Neuron-en_US.srt	12.4 KB
10. The Neuron.mp4	47.6 MB
11. How does a model learn-en_US.srt	14.1 KB
11. How does a model learn.mp4	63.5 MB
12. Making Predictions-en_US.srt	8.0 KB
12. Making Predictions.mp4	24.7 MB
13. Saving and Loading a Model-en_US.srt	4.9 KB
13. Saving and Loading a Model.mp4	43.7 MB
14. Suggestion Box-en_US.srt	4.6 KB
14. Suggestion Box.mp4	20.2 MB
2. What is Machine Learning-en_US.srt	18.7 KB
2. What is Machine Learning.mp4	50.1 MB
3. Code Preparation (Classification Theory)-en_US.srt	20.2 KB
3. Code Preparation (Classification Theory).mp4	39.6 MB
4. Beginner's Code Preamble-en_US.srt	6.8 KB
4. Beginner's Code Preamble.mp4	14.3 MB
5. Classification Notebook-en_US.srt	9.1 KB
5. Classification Notebook.mp4	81.4 MB
6. Exercise Predicting Diabetes Onset-en_US.srt	3.2 KB
6. Exercise Predicting Diabetes Onset.mp4	13.2 MB
7. Code Preparation (Regression Theory)-en_US.srt	8.7 KB
7. Code Preparation (Regression Theory).mp4	17.7 MB
8. Regression Notebook-en_US.srt	12.2 KB
8. Regression Notebook.mp4	51.3 MB
9. Exercise Real Estate Predictions-en_US.srt	1.6 KB
9. Exercise Real Estate Predictions.mp4	5.8 MB
/4. Feedforward Artificial Neural Networks/
1. Artificial Neural Networks Section Introduction-en_US.srt	7.9 KB
1. Artificial Neural Networks Section Introduction.mp4	19.3 MB
10. Exercise E. Coli Protein Localization Sites-en_US.srt	2.8 KB
10. Exercise E. Coli Protein Localization Sites.mp4	11.0 MB
2. Forward Propagation-en_US.srt	12.2 KB
2. Forward Propagation.mp4	26.8 MB
3. The Geometrical Picture-en_US.srt	11.6 KB
3. The Geometrical Picture.mp4	30.0 MB
4. Activation Functions-en_US.srt	22.6 KB
4. Activation Functions.mp4	62.4 MB
5. Multiclass Classification-en_US.srt	10.9 KB
5. Multiclass Classification.mp4	32.3 MB
6. How to Represent Images-en_US.srt	15.6 KB
6. How to Represent Images.mp4	45.1 MB
7. Code Preparation (ANN)-en_US.srt	16.2 KB
7. Code Preparation (ANN).mp4	33.9 MB
8. ANN for Image Classification-en_US.srt	9.8 KB
8. ANN for Image Classification.mp4	61.7 MB
9. ANN for Regression-en_US.srt	13.1 KB
9. ANN for Regression.mp4	104.0 MB
/5. Recurrent Neural Networks, Time Series, and Sequence Data/
1. Sequence Data-en_US.srt	23.7 KB
1. Sequence Data.mp4	69.8 MB
10. GRU and LSTM (pt 2)-en_US.srt	14.5 KB
10. GRU and LSTM (pt 2).mp4	30.7 MB
11. A More Challenging Sequence-en_US.srt	9.5 KB
11. A More Challenging Sequence.mp4	92.5 MB
12. Demo of the Long Distance Problem-en_US.srt	22.8 KB
12. Demo of the Long Distance Problem.mp4	150.0 MB
13. RNN for Image Classification (Theory)-en_US.srt	5.8 KB
13. RNN for Image Classification (Theory).mp4	19.0 MB
14. RNN for Image Classification (Code)-en_US.srt	4.6 KB
14. RNN for Image Classification (Code).mp4	33.5 MB
15. Stock Return Predictions using LSTMs (pt 1)-en_US.srt	15.7 KB
15. Stock Return Predictions using LSTMs (pt 1).mp4	61.1 MB
16. Stock Return Predictions using LSTMs (pt 2)-en_US.srt	6.4 KB
16. Stock Return Predictions using LSTMs (pt 2).mp4	28.8 MB
17. Stock Return Predictions using LSTMs (pt 3)-en_US.srt	14.4 KB
17. Stock Return Predictions using LSTMs (pt 3).mp4	104.2 MB
18. Other Ways to Forecast-en_US.srt	7.1 KB
18. Other Ways to Forecast.mp4	16.6 MB
2. Forecasting-en_US.srt	12.5 KB
2. Forecasting.mp4	27.5 MB
3. Autoregressive Linear Model for Time Series Prediction-en_US.srt	14.3 KB
3. Autoregressive Linear Model for Time Series Prediction.mp4	102.7 MB
4. Proof that the Linear Model Works-en_US.srt	4.5 KB
4. Proof that the Linear Model Works.mp4	10.4 MB
5. Recurrent Neural Networks-en_US.srt	25.3 KB
5. Recurrent Neural Networks.mp4	54.5 MB
6. RNN Code Preparation-en_US.srt	7.0 KB
6. RNN Code Preparation.mp4	12.2 MB
7. RNN for Time Series Prediction-en_US.srt	10.9 KB
7. RNN for Time Series Prediction.mp4	90.4 MB
8. Paying Attention to Shapes-en_US.srt	9.9 KB
8. Paying Attention to Shapes.mp4	79.9 MB
9. GRU and LSTM (pt 1)-en_US.srt	20.5 KB
9. GRU and LSTM (pt 1).mp4	57.8 MB
/6. Natural Language Processing (NLP)/
1. Embeddings-en_US.srt	16.3 KB
1. Embeddings.mp4	34.5 MB
2. Code Preparation (NLP)-en_US.srt	16.6 KB
2. Code Preparation (NLP).mp4	42.9 MB
3. Text Preprocessing-en_US.srt	6.2 KB
3. Text Preprocessing.mp4	27.7 MB
4. Text Classification with LSTMs-en_US.srt	9.8 KB
4. Text Classification with LSTMs.mp4	79.2 MB
5. Exercise Sentiment Analysis-en_US.srt	2.6 KB
5. Exercise Sentiment Analysis.mp4	9.6 MB
/7. In-Depth Loss Functions/
1. Mean Squared Error-en_US.srt	11.2 KB
1. Mean Squared Error.mp4	25.2 MB
2. Binary Cross Entropy-en_US.srt	7.1 KB
2. Binary Cross Entropy.mp4	13.4 MB
3. Categorical Cross Entropy-en_US.srt	9.7 KB
3. Categorical Cross Entropy.mp4	20.5 MB
/8. In-Depth Gradient Descent/
1. Gradient Descent-en_US.srt	9.7 KB
1. Gradient Descent.mp4	21.8 MB
2. Stochastic Gradient Descent-en_US.srt	5.4 KB
2. Stochastic Gradient Descent.mp4	19.1 MB
3. Momentum-en_US.srt	7.7 KB
3. Momentum.mp4	26.8 MB
4. Variable and Adaptive Learning Rates-en_US.srt	15.0 KB
4. Variable and Adaptive Learning Rates.mp4	24.6 MB
5. Adam (pt 1)-en_US.srt	16.4 KB
5. Adam (pt 1).mp4	57.8 MB
6. Adam (pt 2)-en_US.srt	14.3 KB
6. Adam (pt 2).mp4	55.3 MB
/9. Extras/
Colab Notebooks.html	4.1 KB
Total files 150