This course is for beginner python programming language who wants to learn the mathematical basics of the neural networks such as gradients, forward and backward propagation. Also, this course explains how to make a Neural Network for numerical/tabular data and the Convolutional Neural network for images using core TensorFlow.

Due to the easy delivery of knowledge in this course, anyone can learn TensorFlow and Neuralnetworks. As learning TensorFlow is not an easy task but we make it super easy through this course

Why you should learn TensorFlow:

Using TensorFlow you can build a lot of cool stuff such as face recognition models, chatbots, image segmentation models, basic machine learning algorithms, self-driving cars, etc.

Also, TensorFlow is a very demanding skill in the deeplearning industry which enables you to land as a ● Data Analyst

● Deep Learning Engineer

● Computer Vision

● Natural Language Processing

● Business Analyst

● Machine Learning Engineer

● Data Scientist

● IoT &robotics

The ideal student for the course:

Mental Requirements
Somebody who is willing to be dedicated during the course duration, can watch videos and grasp the knowledge as the content is made super easy for everyone. Someone who can watch videos without delay and with discipline.
Physical Requirements
Someone who is looking to build a career as Deep Learning Engineer, Computer Vision, NLP, Robotics can join this course as we teach TensorFlow and Neural Networks in-depth basics which is very crucial for AI career
All you need is a goal of what you want to achieve after this course and dedication if both meets, enroll yourself

Unique Value Proposition

You need to know basic python
Everything is discussed from scratch
Basic calculus knowledge is required