https://github.com/sanikamal/deep-learning-atoz

A collection of deep learning architectures ,model, code snippets, tips and mini projects.
https://github.com/sanikamal/deep-learning-atoz

computer-vision deep-learning nlp scikit-learn skimage tensorflow

Last synced: 2 months ago
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A collection of deep learning architectures ,model, code snippets, tips and mini projects.

• Host: GitHub
• URL: https://github.com/sanikamal/deep-learning-atoz
• Owner: sanikamal
• License: mit
• Created: 2019-04-03T08:56:39.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-10-21T14:33:21.000Z (over 3 years ago)
• Last Synced: 2025-10-14T12:55:35.048Z (8 months ago)
• Topics: computer-vision, deep-learning, nlp, scikit-learn, skimage, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 7.63 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Deep Learning A to Z

A collection of various deep learning architectures, models, tips ,code snippets, and mini projects for TensorFlow and PyTorch.

## What is Deep Learning?

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

Deep learning architectures such as `deep neural networks`, `deep belief networks` and `recurrent neural networks` have been applied to fields including `computer vision`, `speech recognition`, `natural language processing`, `audio recognition`, `social network filtering`, `machine translation`, `bioinformatics`, `drug design`, `medical image analysis`, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

![Deep Learning](images/deep.jpg)

## What is computer vision ?

Humans use their eyes and their brains to see and visually sense the world around them. Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer.

Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images(video). It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.

![Computer Vision](images/computer_vision.jpg)

The applications of computer vision are numerous and include:

* agriculture

* augmented reality

* autonomous vehicles

* biometrics

* character recognition

* forensics

* industrial quality inspection

* face recognition

* gesture analysis

* geoscience

* image restoration

* medical image analysis

* pollution monitoring

* process control

* remote sensing

* robotics

* security and surveillance

* transport

## What is Natural Language Processing (NLP) ?

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken. NLP is a component of artificial intelligence (AI).

The development of NLP applications is challenging because computers traditionally require humans to "speak" to them in a programming language that is precise, unambiguous and highly structured, or through a limited number of clearly enunciated voice commands. Human speech, however, is not always precise -- it is often ambiguous and the linguistic structure can depend on many complex variables, including slang, regional dialects and social context.

![NLP](images/nlp.png)

## Recurrent Neural Networks (RNNs)

- [Approximating a sine Function](sine_function.ipynb)

- [Tensorflow 2 Basic Operation](tf2_basic_operation.ipynb)

## Other

- [Scale Image Pixel Data](Scale_Image_Pixel_Data_for_Deep_Learning.ipynb)

- [Guide to Deal with Text Data](a_gentle_guide_to_deal_with_text_data.ipynb)