Deep Learning and NLP with Python: 2-in-1

سرفصل های دوره

Unleash the power of deep learning and NLP to build real-world applications

1. Getting Started with NLP and Deep Learning with Python

1.1 Deep Learning and NLP with Python.zip

1. The Corse Overview

2. NLTK and Built-In Corpora

3. The Bag-Of-Words Strategy

4. A Sample Text Classifier

5. Latent Semantic Analysis

6. Probabilistic Latent Semantic Analysis

7. Latent Dirichlet Allocation

8. Deep Learning at a Glance

9. Introduction to TensorFlow

10. A Quick Glimpse Inside Keras

11. Machine Learning Architecture

12. Scikit-learn Tools for Machine Learning Architectures

13. Test your knowledge.html

2. Deep Learning with Python

1. The Course Overview

2. What Is Deep Learning

3. Open Source Libraries for Deep Learning

4. Deep Learning Hello World! Classifying the MNIST Data

5. Introduction to Backpropagation

6. Understanding Deep Learning with Theano

7. Optimizing a Simple Model in Pure Theano

8. Keras Behind the Scenes

9. Fully Connected or Dense Layers

10. Convolutional and Pooling Layers

11. Large Scale Datasets, ImageNet, and Very Deep Neural Networks

12. Loading Pre-trained Models with Theano

13. Reusing Pre-trained Models in New Applications

14. Theano for Loops the scan Module

15. Recurrent Layers

16. Recurrent Versus Convolutional Layers

17. Recurrent Networks Training a Sentiment Analysis Model for Text

18. Bonus Challenge Automatic Image Captioning

19. Captioning TensorFlow Googles Machine Learning Library

20. Test your Knowledge.html

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تولید کننده: Udemy-Training