Deep Learning Free Certification Course: Deep Learning From Scratch
Deep Learning Free Certification Course: Online Course on Deep Learning and its Fundamentals is provided by Udemy. This Deep Learning From Scratch Online course is designed for Students and Working Professionals who want to enhance their skills in Deep Learning. You can apply the provided Coupon Code to get this course for free. All interested candidates are encouraged to join the course before the coupon code expires. Please find all the details about the course and coupon code in the post below.
Deep Learning Free Certification Course Details:
What You’ll Learn:
Understand how deep learning works under the hood and apply it in various domains!
Learn the fundamentals of deep learning, from basic concepts to advanced techniques!
Build deep neural networks from scratch using Python and TensorFlow!
Master convolutional neural networks (CNNs) for image classification tasks!
Understand recurrent neural networks (RNNs) and their applications in sequence data processing!
Learn how to fine-tune deep learning models for better accuracy and performance!
Work on real-world deep learning projects to solidify your understanding!
Requirements
- No programming experience is needed. A basic knowledge in simple Machine Learning Algorithms and the math would help
Description
This comprehensive course is to guide you through the intricate world of deep learning, providing you with both the theoretical foundations and practical skills needed to excel in this cutting-edge field.
The journey begins with an Introduction to Deep Learning, where you will learn the key differences between machine learning and deep learning, setting the stage for more complex concepts. We’ll use real-world examples, such as the School Dataset, to illustrate function approximation and introduce neural networks.
Dive deeper into neural networks with topics like Fully Connected Networks (FCNs), where you’ll explore non-linearities and tunable parameters. You’ll gain a thorough understanding of Activation Functions, including Linear, Rectified Linear Unit (ReLU), Leaky ReLU, Sigmoid, Tanh, and Softmax functions.
Details:
Understanding the importance of the Cost Function and mastering the Gradient Descent Optimization Algorithm are crucial steps in your learning. We’ll explore the impact of the learning rate factor and demystify the processes inside a neural network, culminating in a comprehensive overview that puts everything together.
Mathematical foundations are essential for deep learning. This course covers Multivariate Functions and Partial Differentiation* the uses of gradients, the Chain Rule, and the Back Propagation Equations, ensuring you have the mathematical tools to succeed.
Advanced topics include the architecture and layers of Convolutional Neural Networks (CNNs), the implementation of convolution, image classification, and the unique advantages of CNNs for image processing. You’ll also delve into Recurrent Neural Networks (RNNs).
By the end of this course, you’ll have a robust understanding of deep learning and be well-equipped to tackle real-world problems with confidence. Join us and embark on your journey to becoming a deep learning expert!
Who this course is for:
- Beginner Machine Learning Aspirants
- Beginner AI Aspirants who want to gain a solid foundation on Deep Learning
How to Join the Deep Learning Free Online Certification Course?
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To enroll in the Deep Learning Free Course, sign up on Udemy.com and log in. Use the coupon code mentioned below to avail of the course for free.
To Join Course: Click Here
Coupon Code: 2D1F92CF37C3A8255514
Note: Free coupon/offer may expire soon.
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