Introduction to Deep Learning & Neural Networks with Keras

This course is part of multiple programs. Learn more

Instructor: Alex Aklson

What you'll learn

  •   Describe the foundational concepts of deep learning, neurons, and artificial neural networks to solve real-world problems
  •   Explain the core concepts and components of neural networks and the challenges of training deep networks
  •   Build deep learning models for regression and classification using the Keras library, interpreting model performance metrics effectively.
  •   Design advanced architectures, such as CNNs, RNNs, and transformers, for solving specific problems like image classification and language modeling
  • Skills you'll gain

  •   Deep Learning
  •   Keras (Neural Network Library)
  •   Natural Language Processing
  •   Tensorflow
  •   Image Analysis
  •   PyTorch (Machine Learning Library)
  •   Computer Vision
  •   Network Architecture
  •   Artificial Neural Networks
  •   Regression Analysis
  • There are 5 modules in this course

    You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning.

    Basics of Deep Learning

    Keras and Deep Learning Libraries

    Deep Learning Models

    Final Project and Course Wrap-Up

    Explore more from Machine Learning

    ©2025  ementorhub.com. All rights reserved