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

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Packt Publishing

3:27:13

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1. Getting Started with NLP and Deep Learning with Python

1.1 Deep Learning and NLP with Python.zip

1. The Corse Overview.mp4

03:19

2. NLTK and Built-In Corpora.mp4

03:29

3. The Bag-Of-Words Strategy.mp4

15:32

4. A Sample Text Classifier.mp4

03:02

5. Latent Semantic Analysis.mp4

07:36

6. Probabilistic Latent Semantic Analysis.mp4

05:58

7. Latent Dirichlet Allocation.mp4

09:54

8. Deep Learning at a Glance.mp4

10:40

9. Introduction to TensorFlow.mp4

16:37

10. A Quick Glimpse Inside Keras.mp4

07:36

11. Machine Learning Architecture.mp4

09:46

12. Scikit-learn Tools for Machine Learning Architectures.mp4

08:01

13. Test your knowledge.html

2. Deep Learning with Python

1. The Course Overview.mp4

03:51

2. What Is Deep Learning.mp4

04:08

3. Open Source Libraries for Deep Learning.mp4

04:30

4. Deep Learning Hello World! Classifying the MNIST Data.mp4

07:57

5. Introduction to Backpropagation.mp4

05:23

6. Understanding Deep Learning with Theano.mp4

05:04

7. Optimizing a Simple Model in Pure Theano.mp4

07:53

8. Keras Behind the Scenes.mp4

05:24

9. Fully Connected or Dense Layers.mp4

04:46

10. Convolutional and Pooling Layers.mp4

06:40

11. Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4

05:17

12. Loading Pre-trained Models with Theano.mp4

05:15

13. Reusing Pre-trained Models in New Applications.mp4

07:22

14. Theano for Loops the scan Module.mp4

05:18

15. Recurrent Layers.mp4

06:28

16. Recurrent Versus Convolutional Layers.mp4

03:42

17. Recurrent Networks Training a Sentiment Analysis Model for Text.mp4

06:50

18. Bonus Challenge Automatic Image Captioning.mp4

04:40

19. Captioning TensorFlow Googles Machine Learning Library.mp4

05:15

20. Test your Knowledge.html

Description

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

What You'll Learn?

Learn popular algorithms in NLP and deep learning
Transform text tokens into numerical vectors by vectorizing
Compute the gradients of all output tensors
Create a machine learning architecture from scratch
Apply convolutional neural networks for image analysis
Discover the methods of image classification and harness object recognition using deep learning
Get to know recurrent neural networks for the textual sentiment analysis model

Who is this for?

This Learning Path is for anyone interested to enter the field of data science and are new to machine learning.

More details

Description
Deep learning is a popular subset of machine learning that allows you to build complex models that are faster and give more accurate predictions. Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. Itâ€™s used to help deal with customer support enquiries, analyse how customers feel about a product, and provide intuitive user interfaces.

This comprehensive 2-in-1 course teaches you to writeÂ applications using two popular data science concepts, deep learning and NLP. Youâ€™ll learn through practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills, which you will put to work in your own applications.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Getting Started with NLP and Deep Learning with Python, starts off with an introduction to Natural Language Processing (NLP) and recommendation systems which enables you to run multiple algorithms simultaneously. You will then learn the concepts of deep learning and TensorFlow. You will also learn how to create machine learning architecture.

The second course, Deep Learning with Python, takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understanding automatic differentiation. You will then learn convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. You will also learn to examine the performance of the sentiment analysis model. Finally, you be glanced through TensorFlow.

By the end of this training program, youâ€™ll comfortably leverage the power of machine learning and deep learning algorithmsÂ to build high performing day-to-day apps.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

Giuseppe Bonaccorso is a machine learning and big data consultant with more than 12 years of experience. He has pursued his masters in electronics engineering from the University of Catania, Italy, and further post graduation specialization from the University of Rome, Tor Vergata, Italy, and the University of Essex, UK. During his career, he has covered different IT roles in several business contexts, including public administration, military, utilities, healthcare, diagnostics, and advertising. He has developed and managed projects using many technologies, including Java, Python, Hadoop, Spark, Theano, and TensorFlow. His main interests are in artificial intelligence, machine learning, data science, and philosophy of mind.
Eder Santana is a PhD candidate in Electrical and Computer Engineering. His thesis topic is on deep and recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information theoretic learning, and so on), he moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, he contributes to Keras; deep learning library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.

Who this course is for:
This Learning Path is for anyone interested to enter the field of data science and are new to machine learning.

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Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.

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