Description
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans and is essentially a neural network with three or more layers.
Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance.
Models are trained by using a large set of labeled data and neural network architectures that contain many layers.
Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients.
In this course, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing.
You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results.
Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data.
Why Should You Learn Deep Learning and Artificial Neural Networks?
| Cutting-Edge Technology | Deep Learning and Artificial Neural Networks are now leading the field of AI and machine learning developments. |
| Handling Complex Data | Deep Learning demonstrates exceptional capabilities in the processing and comprehension of extensive and intricate datasets. |
| Image and Speech Recognition | Deep Learning has emerged as a crucial technology that drives advancements in image and speech recognition, leading to transformative impacts across multiple sectors. |
| Natural Language Processing | Artificial Neural Networks (ANNs) have the capability to facilitate natural language interpretation, hence enabling the development of chatbots and language-based applications. |
| Automation and Optimization | Deep Learning is a computational approach that enables the automation of various jobs and the optimization of processes, resulting in enhanced efficiency and accuracy. |
| Personalization and Recommendation Systems | Deep Learning facilitates the provision of customised recommendations, hence improving user experiences. |
| Healthcare and Diagnostics | Artificial intelligence (AI) powered neural networks have been shown to provide valuable assistance in medical diagnostics and research, hence enhancing healthcare results. |
| Autonomous Vehicles | The utilization of Deep Learning is of utmost importance in the advancement of self-driving cars and autonomous systems. |
| Predictive Analytics | Artificial Neural Networks (ANNs) play a crucial role in enabling businesses to engage in predictive modeling and forecasting. |
| Future-Proof Skills | Acquiring knowledge in the field of Deep Learning and Artificial Neural Networks equips individuals with the necessary skills to navigate and thrive in a future heavily influenced by artificial intelligence. |
Why Should You Participate in This Course?
- Learn the fundamental techniques and tools required to train a deep learning model
- Gain experience with common deep learning data types and model architectures
- Enhance datasets through data augmentation to improve model accuracy
- Leverage transfer learning between models to achieve efficient results with less data and computation
- Build confidence to take on your own project with a modern deep learning framework
What You'll Learn?
- Understand the intuition behind Artificial Neural Networks
- Apply Artificial Neural Networks in practice
- Understand the intuition behind Convolutional Neural Networks
- Apply Convolutional Neural Networks in practice
- Understand the intuition behind Recurrent Neural Networks
- Apply Recurrent Neural Networks in practice
- Understand the intuition behind Self-Organizing Maps
- Apply Self-Organizing Maps in practice
- Understand the intuition behind Boltzmann Machines
- Apply Boltzmann Machines in practice
- Understand the intuition behind AutoEncoders
- Apply AutoEncoders in practice
Who Should Enroll in This Course?
- Anyone interested in Deep Learning
- Students who have at least high school knowledge in math and who want to start learning Deep Learning
- Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning
- Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets
- Any students in college who want to start a career in Data Science
- Any data analysts who want to level up in Deep Learning
- Any people who are not satisfied with their job and who want to become a Data Scientist
- Any people who want to create added value to their business by using powerful Deep Learning tools
- Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business
- Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms
Course Duration
- 400 Lectures and 30 Hours of on Demand HD Videos
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
- 9877+ students enrolled
- Complete Practical Training
- Download access
- Watch Videos in Android and iOS App