Deep Learning with TensorFlow

Deep Learning with TensorFlow


Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow

Classes : 20                  Days : 2 months                  Duration : Weekdays / Weekends

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow.

TensorFlow is the second machine learning framework that Google created and used to design, build, and train deep learning models. You can use the TensorFlow library do to numerical computations, which in itself doesn`t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

The Machine Learning course and Deep Learning Specialization teaches the most important and foundational principles of Machine Learning and Deep Learning.

This new deeplearning.

ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems.

To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

-You have hands on exp with ML / Hadoop technologies with a genuine interest in DL.

-You need to know basic python such as lists, dictionaries, loops, functions and classes

- You need to know basic differentiation

- You need to know basic algebra


Installation and Setup

What is Machine Learning?

Crash Course Overview

Introduction to Neural Networks

TensorFlow Basics

Convolutional Neural Networks

Recurrent Neural Networks

Miscellaneous Topics


Reinforcement Learning with OpenAI Gym

GAN - Generative Adversarial Networks


Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.


Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.

Pattern : +19876543210
Corporate Scholarship Career Courses