What you would learn in Everything about Convolutional Neural Networks  course?
You're searching for a comprehensive Convolutional Neural Network (CNN) course which teaches the basics needed to build the Image Classification model in Python. Must you be?
You've come to the right place for a Convolutional Neuron Networks Course!
After you have completed this program, you can:
Determine what the Image Classification problems which can be solved with CNN Models are.
Create CNN models using Python with the help of Keras along with Tensorflow libraries, and then analyze their outcomes.
Practice confidently, talk about and grasp Deep Learning concepts
Know the ways Neural Networks work internally and the different ideas related to this field.
What will this course do to assist you?
A Verified Certificate of Completion is awarded to every student who completes the Convolutional Neural Networks course.
If you're an Analyst, an ML scientist, or a student looking to understand the application of Deep Learning in the Real world problem solving, This course will give you a solid foundation to do that by teaching the latest techniques that are associated with Deep Learning and their implementation in Python without becoming too Mathematical.
The reason why you should take this particular course?
This course will cover the entire process one must take to build an effective image-classification model using Convolutional Neural Networks.
The majority of courses focus on teaching you how to conduct the analysis. However, we believe that having deep knowledge of the theories can help us create an accurate model. When the analysis is completed, it is expected to determine how well the model is and how to interpret the results so that they are helpful in the business.
Download practice files
There are notes for class in each lecture that allow you to follow as you go. There's a final practice assignment that will help you use your learning.
What's included in this class?
Understanding Deep Learning
Functions for Activation
What Neural Network works & learns
Gradient Descent vs. Stochastic Gradient Descent
CNN - Building and Analyzing a model
Gain a thorough understanding of Convolutional Neural Networks (CNN) and Deep Learning
Learn about the different Neural Network concepts like forwarding Pass, Backpropagation activation functions, etc.
Learn to make use of Keras Libraries and the Tensorflow Library
Create an end-to-end Image Classification project in Python
Make use of Pandas DataFrames for manipulating data and performing statistical calculations.
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