Start-Tech Academy

Deep Learning using Python

Learn deep Learning with Python: From Artificial Neural Networks (ANN) to Convolutional Neural Networks (CNN) using Keras & TensorFlow for Predictive Modeling and Computer Vision

Are you eager to master the intricacies of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for creating powerful models in Python? 

You’ve found the right Deep Learning using Python course!

After completing this course you will be able to:

  • Identify business problems that can be effectively tackled using Neural Network and Image Recognition models.
  • Gain a profound understanding of advanced concepts such as Gradient Descent, forward and Backward Propagation, convolutional and pooling layers, and more.
  • Create robust Neural Network and Convolutional Neural Network models using Python, leveraging libraries like Keras and TensorFlow.
  • Confidently engage in discussions and applications of Deep Learning concepts in real-world scenarios.

How will this course benefit you?

Receive a Verifiable Certificate of Completion, affirming your expertise in Neural Networks and Convolutional Neural Networks.

Whether you’re a business analyst, an ML scientist, or a student aspiring to delve into the realm of Deep Learning, this course equips you with essential skills without delving too deeply into mathematics.

Why choose this course?

This course covers all the steps that one should take to create a predictive model using Neural Networks and an image recognition model using Convolutional Neural Networks.

Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model. After running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in a Global Analytics Consulting firm, we have helped businesses solve their business problems using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course

We are also the creators of some of the most popular online courses – with over 250,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman – Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Practice test, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take practice tests to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. 

What is covered in this course? 

Python Basics: Get started with Python, setting up your environment and mastering basic operations, alongside an understanding of essential libraries such as NumPy, Pandas, and Seaborn.

Theoretical Concepts: Dive deep into the theoretical underpinnings of Neural Networks and Convolutional Neural Networks, understanding the architecture, optimization techniques like Gradient Descent, and more.

Creating Models: Learn to create ANN and CNN models in Python using Sequential API, explore network architecture, train models, evaluate performance, and employ advanced techniques like Data Augmentation and Transfer Learning.

Data Preprocessing: Understand the crucial steps involved in preparing data for analysis, including missing value imputation, variable transformation, and test-train split.

By the course’s conclusion, you’ll emerge with the confidence to construct Neural Network and Convolutional Neural Network models proficiently in Python, equipped to tackle complex business problems with ease.


Go ahead and click the enroll button, and I’ll see you in lesson 1!


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12h 46min
62 lectures
Full Lifetime Access
Certificate of completion