Deep Learning Fundamentals Course

This course is designed for beginners who are interested in deep learning, Deep learning has received a lot of interest in part because it circumvents the constraints of conventional machine learning. The first drawback is that high-dimensional data cannot be handled by typical machine learning. As a result, as the volume of data grows, the performance of the conventional machine-learning model tends to plateau.

What will you learn Deep Learning Fundamentals Course?

1. Industry Applications of deep learning
2. Various examples in daily life with deep learning
3. Artifical Neural Network Overview
4. The Neuron
5. How neuron works
6. Hidden layer
7. Activation Function
8. Optimizer
9. Loss Function
10. Gradient Descent
11. Stochastic Gradient Descent
12. Backpropagation
13. What is Perceptrons and overview
14. Drop Out
15. Basics and properties
16. Gradient descent in once dimension
17. Multivariate Gradient descent
18. Gradient descent update
19. Dynamic learning rate
20. Adagrad
21. RMSProps
22. Adam
23. Steps for creating model with Keras
24. Steps for creating model with TensorFlow
25. Convolutional layer
26. CNN Architecture
27. Invariance
28. Convolutions
29. The cross correlation operation
30. Learning a kernel
31. Feature map and receptive field
32. Padding
33. Stride
34. Relu
35. Maximum pooling and average pooling
36. Flattening of layer
37. Fully connected layer
38. Idea behind RNN
39. Applications of RNN
40. One Hot Encoding
41. Initialize model parameter
42. Gradient Clipping
    Prediction
43. Analysis of gradient in RNN
44. Backpropagation in time in details
45. GRU
46. LSTMs
47. Deep Recurrent neural Networks

Requirement

Basic understanding of Python is required.

Description

A warm welcome to Deep Learning Fundamentals Course.

The Deep Learnings market size is estimated to be worth $18.16 billion by end of 2023. That means the market is growing at a rapid rate of 41 percent from 2018 to 2023. Deep learning is getting used in all sectors – healthcare, fintech, e-commerce. As per Glassdoor the average salary of Deep learnings engineer is $136K.

This course is curated by industry AI experts and aligned with the need of the industry. You will master deep learnings concepts and will learn popular algorithms like CNN, RCNN, RNN, LSTM, RBM. You will build models using Keras and TensorFlow frameworks and implement deep learnings algorithms. This course will prepare you for a career as Deep Learnings Engineer.

By the end of this course, you will get the necessary knowledge required to enhance your career as Deep learnings engineer.
This course will help you boost your career in the booming Artificial Intelligence domain. So, start your AI journey today. We will see you in the course.

Who is this course for?

1. College Freshers
2. Anyone who is willing to learn Deep learning in simple and easy steps