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Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python
Development ,Data Science,Python
Lectures -62
Resources -1
Duration -9 hours
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Artificial Neural Networks (ANN) Using Keras and TensorFlow in Python helps you learn everything you need to know to build a neural network model.
You will be able to recognize business problems that neural network models can answer once you have finished this course. Advanced neural network concepts like Gradient Descent, forward and backward propagation, etc. will be crystal clear to you.
With the Keras and Tensorflow frameworks, you can build neural network models in Python and examine the outcomes. With the help of this course, you can Artificial Neural Networks (ANN) Using Keras And TensorFlow In Python
The entire process of building a predictive model using neural networks is covered in this course. The course material gives you a solid theoretical grasp of the ideas needed to build an effective model. After conducting the analysis, one ought to be able to evaluate how accurate the model is and interpret the findings in order to genuinely assist the company.
Each student who completes this Neural Networks course receives a Verifiable Certificate of Completion.
This course will provide you with a strong foundation for applying deep learning to real-world business problems if you are a business analyst, executive, or student. It does this by teaching you some of the most cutting-edge concepts of neural networks and how to implement them in Python without getting overly mathematical.
Abhishek and Pukhraj are the instructors for the course. We have leveraged our expertise as managers at a Global Analytics Consulting company to include the practical parts of data analysis in this course. We have assisted businesses in solving their business problems utilizing Deep Learning techniques.
Our job is to teach our students, and we are dedicated to it. You can always post a question in the course or send us a direct message if you have any queries concerning the course material, the practice sheet, or anything else associated with any topic.
Take a practice test, do assignments, and get practice materials.
There are class notes connected to each lecture so you may follow along. You can assess your conceptual understanding by taking practice exams. You must complete a final practical assignment to put your knowledge into practice.
This course teaches you how to build a Deep Learning model, i.e., a neural network-based model, to solve business challenges.
Below are the course contents of this course on ANN:
By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Below are some popular FAQs for students who want to start their deep learning journey:
Understanding Python is one of the valuable skills needed for a career in Deep Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Check out the detailed breakdown of what’s inside the course
Abhishek and Pukhraj
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.
Use your certificate to make a career change or to advance in your current career.
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