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Introduction
Deep learning is a branch of machine learning that uses algorithms to model high-level abstractions in data. By using a deep learning algorithm, a computer can learn to perform tasks that are difficult to program explicitly. Deep learning is a way of teaching-learning performance, it’s potential to enable more intelligent and efficient artificial intelligence, and its growing importance in many industries. Deep learning can be applied to a wide variety of problems, including image classification, object detection, and natural language processing. This article on deep learning courses helps you to understand what is deep learning, why deep learning courses are essential and a list of the top 5 free deep learning courses.
What is Deep Learning?
Deep learning is a branch of machine learning that is inspired by the structure and function of the brain. Deep learning algorithms are designed to learn in a way that is similar to the way humans learn. Deep learning is a powerful tool for building predictive models.
What makes an excellent deep learning course?
There are many factors that contribute to an excellent deep learning course. Some important factors include: –
The course should be comprehensive and cover all the important topics in deep learning.
The course should be taught by experienced and knowledgeable instructors.
The course should be well-organized and provide students with clear learning objectives.
The course should be interactive and allow students to ask questions and get feedback.
What is a Deep Learning Course?
A Deep Learning Course is a course that covers the basics of deep learning, including the different types of neural networks and how they are used to solve problems.
Neural networks and broad, intuitive analysis are central to deep learning. Image recognition, recommendation systems, and natural language processing are examples of deep learning applications.
Most importantly, deep learning is not only for programmers and developers. Deep learning processes are now used in many jobs, from scientists to market researchers. As a result, those who do not have a background in computing may be interested in locating the best deep learning course for them.
Here is my list of the best deep learning courses in-depth.
Top 5 deep learning courses in 2022
| Course | Skill Level | Course Duration | Course Fee | Certificate |
| Introduction to deep learning | Beginner | 1.5 | Free | Yes |
| Introduction to the neural network and deep learning | Beginner | 2.5 | Free | Yes |
| Deep Learning with Python | Beginner | 8 | Free | Yes |
| Stock Price Prediction using Deep Learning | Intermediate | 2 | Free | Yes |
| Deepfake Demo | Beginner | 1 | Free | Yes |
Introduction to deep learning
As a part of this deep learning course, you will be guided by a few fundamental concepts such as the history of deep learning, applications, and various frameworks used in neural network applications. This free deep learning tutorial will give you an overview of Deep Neural Network, Boolean Gates and Artificial Neuron, Rosenblatt Neuron Perception, and Artificial Neural Network.
Course Duration: 1.5 hrs
Course Rating: 4.45/5
Cost: Free
Skill Level: Beginner
Certificate: Yes
Course Syllabus
- What is Deep Learning?
- Where DL Fits?
- Where to use DL?
- Brief History of DL
- Why second wave?
- ML vs DL
- Artificial Neural Network Introduction
- Tensorflow Playground Demo
- Deep Learning Fundamentals
- Basic Set of Layers
- Activation Function
- Demo for Neural Network
- CNN Introduction
- RNN & LSTM
- Types of Chatbots & Conventional Interface
- Demo for CNN
- Deep Neural Network Overview
- Introduction to Deep Neural Networks
- Boolean Gates and Artificial Neuron
- Rosenblatt Neuron Perceptron
- Artificial Neural Network
Introduction to the neural network and deep learning
This free course will provide you with insights into the applications of deep learning and a better understanding of the various frameworks used in neural network applications.
You will also be taken through a few fundamental concepts, such as CNN, RNN, and LSTM, as well as compare different types of chatbots and traditional interfaces, Machine learning, and Deep Learning.
Course Duration: 2.5 hrs
Course Rating: 4.54/5
Cost: Free
Skill Level: Beginner
Certificate: Yes
Course Syllabus
- What is Deep Learning?
- Where DL Fits?
- Where to use it?
- Brief History
- Why the second wave?
- ML vs DL
- Artificial Neural Network
- Tensorflow Playground Demo
- Deep Learning Fundamentals
- Basic Set of Layers
- Activation Function
- Deep Learning Algorithm
- Demo Part -1
- CNN
- RNN & LSTM
- Types of Chatbots & Conventional Interface
- Demo Part-2
Deep Learning with Python
This free course helps you to understand python’s TensorFlow library, model an equation in TensorFlow, introduction to the Keras framework, and a brief overview of the Gradient concept.
Course Duration: 8 hrs
Course Rating: 4.52 / 5
Cost: Free
Skill Level: Beginner
Certificate: Yes
Course Syllabus
- Need for deep learning
- Introduction to Tensorflow
- Tensorflow: Eager execution and hello world
- Tensorflow: Modelling an equation in Tensorflow
- calculating loss and gradient
- Hands-On: Regression using TensorFlow(Eager Execution and Eager Normalization)
- Gradient
- Keras framework
- Classification using MNIST
Stock Price Prediction using Deep Learning
This free course on deep learning will teach you how to predict stock prices using Deep Learning techniques. And also helps you understand time series forecasting, ANN, and RNN.
Course Duration: 2.0 hrs
Cost: Free
Skill Level: Intermediate
Certificate: Yes
Course Syllabus
- What is Time Series Forecasting?
- Basics of Steps in Forecasting
- ANN and RNN
- Model Training
Deepfake Demo
This course will teach you about Deepfakes and show you how to build them with visuals for a better understanding.
Course Duration: 1.0 hr
Cost: Free
Skill Level: Beginner
Certificate: Yes
Course Syllabus
- What Is Deepfake?
- Introduction to Deepfake
- Why is Deepfake popular?
- What’s required to create a Deepfake course?
- How does Deepfake work?
- Demo: Deepfake using Python
- Demo: Deepfake using Python Part-2
Conclusion
Deep learning is a subset of machine learning in which algorithms are used to model high-level abstractions in data. By using a deep learning algorithm, a computer can learn to perform tasks that are difficult to program explicitly. One can learn about this algorithm with the help of the above-mentioned courses.
FAQs
The best deep learning course is provided by a great learning academy, some of these free courses are an introduction to deep learning, deep learning with python and many more.
There is no one-size-fits-all answer to this question, as the cost of deep learning specialization courses can vary depending on the provider. However, many online courses and providers offer free trials and free resources, so it is always worth checking the individual course or provider to see what they offer.
There are a number of ways you can study deep learning, including free online courses from great learning academy, books, research papers and youtube videos.
The amount of time, it takes to learn deep learning will vary depending on the individual’s prior knowledge and experience, as well as the depth of the learning desired. However, a good rule of thumb is to expect it to take several months to gain a strong understanding of deep learning concepts and techniques.
There are many topics in deep learning, some of which include: –
Neural networks
Convolutional neural networks
Recurrent neural networks
Generative adversarial networks
Deep reinforcement learning
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