Fundamentals of Digital Image and Video Processing

Course Link: https://www.coursera.org/learn/digital

Fundamentals of Digital Image and Video Processing
Do you want to know how to make photographs beautiful and clear? This course will teach you fundamentals of image and video processing including how to sharpen your camera’s image, how to make pictures look better, and how to make videos look better too. You will build a solid foundation for more advanced skills as you move into advanced processing topics such as post-production, post-processing effects, and advanced tools such as a video editor. You will learn to apply all of these advanced techniques to make your photographs beautiful and clear. If you are interested in learning how to make pictures look better, follow this course. If you are interested in advanced image and video processing, follow the extra-curricular activities to make pictures look better, and more pictures.

Course lectures are posted every 4 weeks and the course is self-paced. You can participate in the class without studying it through the whole course. All you need is a camera with a high-quality lens, some practice using advanced photography tools, and a good sense of perspective. You will also get a peek into the world of photography by taking pictures with your own camera.

The course consists of four modules. On each module you will go through a series of images related to the subject of the picture. You can see a picture of a building and write a poem about it. You can also buy furniture and decor from that building if you want. In all, this course covers six topics.Introduction to Image and Video Formats
Picture Decomposition
Picture Editing Tools
Photo Editing Techniques
Fundamentals of Consumer Neuroscience
How do we see the world and experience the emotions, desires and behaviors of others? What do our sensory and motor capacities mean? What can we tell our biological clocks are telling us and why? What causes and predicts behavior? How does the unconscious influence the conscious? What does the future hold? This course is designed to introduce you to the fundamental principles of neuroscience and to provide an overview of the human brain. You will gain an in-depth understanding of the human brain and the human sensory and motor systems that are involved in understanding others. You will also gain a better understanding of human nature and how different social settings impact the development and shaping of our behavior. This course will give you a broad understanding of what is going on in the brain and how the behavior of others are influenced by the environment. You will explore the connections between the different areas of the brain and how they work. You will learn about the different areas of the brain and how they communicate with one another. You will also gain a better understanding of human nature and how behavior changes with experience.Introduction to Neuroscience
Neuroanatomy, Neurophysiology, and Neuroimaging
Social Context and Circuits
Neuroanatomy, Neurophysiology, and Neuroimaging Part 1
<| Course Link: https://www.coursera.org/learn/digital

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Course Link: https://www.coursera.org/learn/image-processing

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
The University of Illinois, Urbana-Champaign, is a world-renowned institution for undergraduate and graduate students in the design, development, and implementation of computer graphics and interactive multimedia, and has been ranked as the #1 computer graphics school in the world since 2008. The Image and Video Processing Technology Department is dedicated to the application of advanced image and video processing techniques for medical and video imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course is the third and last course in the specialization, Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the application of advanced image and video processing techniques for medical and visual imaging, and is ideally aligned to the fields of medicine, surgery, and education. However, we are also a world-class institution dedicated to creating the best learning experience for our students. This course will focus on the

Course Link: https://www.coursera.org/learn/image-processing

Introduction to Neurohacking In R

Course Link: https://www.coursera.org/learn/neurohacking

Introduction to Neurohacking In R
Nootropics are everywhere! They are drugs, they are food, they are used in so many different ways. Neurohacking in R is the application of the knowledge about pharmacology to the nitty-gritty details of manipulating neuronal activity. This course will take you deeper into the mechanisms that are responsible for the widespread usage of psychedelics. You will learn how to implement the steps in one step which produces a strong psychedelic experience. We will cover the basic mechanisms of action of psychedelics, their routes of transmission, and their potential side effects. We will also look at how psychedelics are produced and how they are distributed. You will also learn the steps for implementing the steps in a controlled study. This course is designed for people who are curious about how psychedelics work, who would like to become familiar with the details, and people who want to explore the neuroscience behind the popularized ways of speaking about psychedelics.Nootropics
Functions of Nootropics
Route of Administration
Preliminary Anatomy of the Pine
Introduction to Neural Information Processing Systems
The main goal of this course is to familiarize you with the basic concepts of Neural Information Processing Systems (NIPS) and to provide you with a high-level understanding of the fundamental algorithms and concepts used to design and implement them. This approach will allow you to design and test innovative algorithms and/or techniques and will allow you to better design your own solutions in software, hardware, and in the physical sciences.

This is the second part of the specialization. In the first course you learned about the basic concepts of Neural Networks and how to implement them in Python. In the second course we will concentrate on the core algorithms used to train and evaluate neural networks. We will also discuss the concepts and algorithms used to evaluate different types of neural networks. We will also discuss the details of the deep neural networks which process visual data (images) to the human brain and convey information to other devices as well as other kinds of sensors.

We hope that you enjoy the course and will see you online!Neural networks
Bistability
Recurrent Neural Networks (RNN)
Deep Neural Networks
Introduction to Networking
Welcome to the third and final course in the specialization Introduction to Networking.

In the first two courses we looked at how computer networks are organized and how they communicate with each other. We will now take a look at how the human brain works. We will also talk a bit about how to design and implement algorithms which work with a broad range of data. Finally, we will discuss the algorithms which are used to solve problems in computer networks.

This course is the third and last course in the specialization. In the first two courses we looked at how computer networks are organized and how they communicate with

Course Link: https://www.coursera.org/learn/neurohacking

Best Coursera Courses for Deep Learning

Here is a list of best coursera courses for deep learning.

1. Deep Learning Specialization

This deep learning specialization provided by deeplearning.ai and taught by Professor Andrew Ng, which is the best deep learning online course for everyone who want to learn deep learning. The DL specialization include 5 sub related courses:

1) Neural Networks and Deep Learning

This is the first course of the Deep learning specialization, which will tell you what is neural networks and deep learning. It includes 4 part: Introduction to deep learning; Neural Networks Basics; Shallow neural networks; Deep Neural Networks. For people who know or don’t know deep learning, this is the best beginning course for AI.

2) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

This is the second course of the Deep Learning Specialization, which focus on the “trick” to make the deep learning to work well:

  • Understand industry best-practices for building deep learning applications;
  • Be able to effectively use the common neural network “tricks”, including initialization, L2 and dropout regularization, Batch normalization, gradient checking;
  • Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence;
  • Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance;
  • Be able to implement a neural network in TensorFlow.

3) Structuring Machine Learning Projects

This is the third course in the Deep Learning Specialization. Professor Andrew Ng will teach you how to build a successful machine learning project. Most of the course content are drawn from Professor Andrew Ng’s experience from Stanford, Google , Baidu and the industry:

  • Understand how to diagnose errors in a machine learning system;
  • Be able to prioritize the most promising directions for reducing error;
  • Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance;
  • Know how to apply end-to-end learning, transfer learning, and multi-task learning

4) Convolutional Neural Networks

This is the fourth course of the Deep Learning Specialization, which will teach you how to build convolutional neural networks and apply it to image processing:

  • Understand how to build a convolutional neural network, including recent variations such as residual networks.
  • Know how to apply convolutional networks to visual detection and recognition tasks.
  • Know to use neural style transfer to generate art.
  • Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.

5) Sequence Models

This is the fifth course of the Deep Learning Specialization, which will tell you how to build models for natural language, audio, and other sequence data:

  • Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.
  • Be able to apply sequence models to natural language problems, including text synthesis.
  • Be able to apply sequence models to audio applications, including speech recognition and music synthesis.

2. Neural Networks for Machine Learning

This deep learning course provided by University of Toronto and taught by Geoffrey Hinton, which is a classical deep learning course. It provides both the basic algorithms and the practical tricks related with deep learning and neural networks, and put them to be used for machine learning.

3. Introduction to Deep Learning

This entry-level deep learning course belongs to the “Advanced Machine Learning Specialization“, which provided by Higher School of Economics and Yandex. The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.

4. Deep Learning in Computer Vision

This deep learning application course belongs to the “Advanced Machine Learning Specialization“, which provided by Higher School of Economics and Yandex. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. The course will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and oftenly demonstrated in movies and TV-shows example of computer vision and AI.

5. An Introduction to Practical Deep Learning

This deep learning course provided by Intel and taught by Intel Engineers, which provides an introduction to Deep Learning. Students will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics.

6. Deep Learning for Business

This deep learning business course is provided by Yonsei University and it has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.

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