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Neural Network Basics in Python
4.58
Intermediate level
17.25 learning hrs
Explore Neural Network Basics in Python: Ignite Deep Learning with Tensorflow, Keras, MLP, Backpropagation, Batch Normalization, and Stock Price Prediction. Join the free course now!
Instructor:
Sunil Kumar Vuppala
Modules updated 07/2025
About this course
Uncover the fundamentals of neural networks and deep learning, guided by expert instruction. Explore essential concepts like Tensorflow and Keras, delve into the architecture of Multilayer Perceptrons, understand Back Propagation, and harness the power of Batch Normalization. The course culminates in a practical application—Stock Price Prediction using Deep Learning. Gain hands-on experience, enhance your Python skills, and unlock the secrets of neural networks. Elevate your understanding of the digital frontier and enroll today for an enriching educational experience.
Ready to enhance your skills further? Next, explore our Postgraduate Program in Artificial Intelligence and Machine Learning.
Course outline
Introduction to Neural Network and Deep learning
Gain foundational knowledge in neural networks and deep learning, understanding the basics of artificial neural networks and their application in solving complex problems.
Introduction to Tensorflow and Keras
Explore the powerful tools of TensorFlow and Keras for building and training neural networks. This course provides a hands-on introduction to these frameworks, essential for deep learning development.
Multilayer Perceptron
Dive deeper into neural network architecture by studying the multilayer perceptron (MLP). Understand how this fundamental structure contributes to the learning capabilities of neural networks.
Back Propagation
Delve into the backpropagation algorithm, a key component in training neural networks. Learn how this optimization technique adjusts weights to minimize errors and enhance the model's predictive accuracy.
Batch Normalisation
Explore the benefits of batch normalization in neural networks. This course covers the normalization technique applied to mini-batches, improving the training process and stability of deep learning models.
Get access to the complete curriculum once you enroll in the course
4.58
What our learners enjoyed the most
Skill & tools
69% of learners found all the desired skills & tools
Our course instructor
Sunil Kumar Vuppala
Director-Data Science
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
How long does it take to complete this Free Neural Network Basics course?
It is a 13 hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.
Will I have lifetime access to the free course?
Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.
Will I get a certificate after completing this Free Neural Networks course?
Yes, you will get a certificate of completion after completing all the modules and cracking the assessment.
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