October 2021
Beginner
9h 36m
English
on-demand course
Deep Learning Using Keras - A Complete and Compact Guide for Beginners
with Abhilash Nelson
Closed Captioning available in English
Overview
In this 9-hour course, you will delve into the essentials of deep learning, starting with Python basics and progressing to advanced concepts such as convolutional neural networks (CNNs). Designed for beginners, this course provides both theoretical and practical insights into building and optimizing deep learning models using libraries like Keras.
What I will be able to do after this course
- Gain a foundational understanding of Python and essential libraries such as NumPy and Pandas.
- Learn the structure and workings of artificial neurons and neural networks.
- Master essential deep learning concepts including CNNs and activation functions.
- Develop and optimize both text-based and image-based deep learning models.
- Explore transfer learning techniques using VGGNet and ResNet models in Google Colab.
Course Instructor(s)
Abhilash Nelson, the instructor, brings expertise in deep learning and Python programming. With a strong background in computational learning models and years of teaching experience, Abhilash effectively combines theory with hands-on practice to simplify complex concepts. His approach ensures learners can apply their skills to real-world applications.
Who is it for?
This course is tailored for beginners with a basic understanding of computers who aspire to explore the world of deep learning. Ideal for students or professionals looking to build foundational skills in Python programming and neural networks. Perfect for those interested in developing practical knowledge for real-world tech projects.
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