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Deep Learning From Scratch Free Course Coupon

What you’ll learn

  • Understanding the architecture of Neural Networks and the math behind them
  • Building Deep Learning Models using Tensorflow
  • Practicing ML and DL Terms
  • Grasp a solid understanding on the different types of NN

This course includes:

  • 5.5 hours on-demand video
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Description

This comprehensive course is designed 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.

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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.

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 Get this course FREE?

Get a 100% Discount On Udemy courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.

Apply this Coupon:  2D1F92CF37C3A8255514  is applied  (For 100% Discount)

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Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course for 100% Free. After that, you will get this course at a discounted price.

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Pratik Nagada
Pratik Nagadahttp://careerboostzone.com
My name is Pratik Nagada and I am a resident of the small town of Nallasopara in Maharashtra. I come from a very poor family and I live with my mom. My father was dead when I was in 4th grade. Due to that financial issue, I was forced to go to a hostel from the 5th to the 10th. I know the basics of blogging and all because in my final year of school, after that, when I came home, I had a great fight with my mom because she wanted to take me science and I wanted to take science. Finally, I convinced my mom. I have done engineering at St. John College of Engineering and Management, which is in Palghar. I still love my college very much. Even today, I keep sharing the experiences of my college with my readers. Today I am the owner of the CareerBoostZone English blogging site and through my blog, I have prepared a better employment platform for Readers I feel happy that I tried to empower readers by helping in employment and the development of the country. And my efforts are continuing towards success.
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