Deeplearning with Tensorflow Online training

Deeplearning with tensorflow Online Training with Free Tutorials

Deep learning is said to be the intersection of statistics, artificial intelligence, and the data in order to build proper and accurate models and TensorFlow is one of the newest and latest entrants into with some of the comprehensive libraries for implementing deep learning. Deep learning is going mainstream, thus making the sense of data and getting the right and proper results with the help of using deep networks are quite possible. TensorFlow is one of the best libraries that has come into the picture for implementing deep learning. TensorFlow is the software library for numerical computation of the mathematical expressions with the help of data flow graphs. It was created by Google and has been tailored to suit for Machine Learning. In fact, it is being widely used to develop various new solutions with Deep Learning. It is used by major companies all over the world, such as Twitter, Airbnb, eBay, Dropbox, Snapchat, Uber, SAP, Qualcomm, IBM, Intel, and last but not the least Google.

Deeplearning with Tensorflow Online training

Deeplearning with Tensorflow Online training

OHO Training has a huge pool of talented trainers who will be providing you Deep Learning in TensorFlow Online training along with Python Training and the aspirant will be learning more about what is AI, explore in detail about neural networks, understand the various deep learning frameworks, implement the various machine learning algorithms using Deep Networks. You will be guided to explore all the possibilities in deep learning and you will be able to understand the data like never before. You will also get to explore how the different layers in neural networks do data abstraction and feature extraction using Deep Learning. Our Deep Learning in TensorFlow training is designed in such a way to make you a Data Scientist by providing you rich hands-on training on Deep Learning in TensorFlow. This course will surely be a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects first hand. With its efficiency and simplicity, you will be able to process the data like never before and gain proper insight into how to look at the data. You will also gain a lot from the course and complete the certification towards the end.

All the highly qualified trainers who are a part of OHO Training are industry experts with many years of relevant industry experience. Each of them who are selected by us has gone through a rigorous selection process that includes proper profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers are certified with perfect credentials remain on our faculty.

What are the objectives of the course?

The Deep Learning in Tensorflow is designed by industry experts to make you as a certified deep learning engineer.

  • In-depth knowledge of Deep Learning networks and apply analytical mathematics on data In-depth knowledge of Deep Neural Networks
  • Getting comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders and knowledge in Backpropagation
  • Implementation of Collaborative Filtering with RBM
  • Leveraging the subject skills in the implementation of regression models
  • Exposure to real-life industry-based projects which will be executed using TensorFlow library
  • There will be rigorous involvement of an SME throughout the AI & Deep Learning Training to learn the best industry standards and practices.

Who can take up Deep Learning with TensorFlow Certification Training?

The TensorFlow Training is suited best for all the professionals who are passionate about Deep Learning and who want to go ahead and make their career as a Deep Learning Engineer. There is a booming demand for skilled deep learning engineers across a wide range of industries all over the US and when the aspirants take up this deep learning course with TensorFlow training that is well-suited for professionals at the intermediate to advanced level of experience. We recommend this deep learning online course particularly for the following professionals:

  • Freshers and STEM graduates
  • Developers who are aspiring to be a ‘Data Scientist’
  • Analytics Managers who are leading a team of analysts and want to learn Deep Learning
  • Business Analysts who wish to understand Deep Learning Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • Developers who want to know how to apply Python in Deep Learning.
  • Analysts wanting to understand Data Science methodologies.


1.1 Neural Networks and Deep Learning

1.2 Running the Code

1.3 An Introductory Artificial Neural Network

2.1 The Families of Deep Neural Nets and their Applications

2.2 Essential Theory I—Neural Units

2.3 Essential Theory II—Cost Functions, Gradient Descent, and Backpropagation

2.4 TensorFlow Playground—Visualizing a Deep Net in Action

2.5 Data Sets for Deep Learning

2.6 Applying Deep Net Theory to Code I

3.1 Essential Theory III—Mini-Batches, Unstable Gradients, and Avoiding Overfitting

3.2 Applying Deep Net Theory to Code II

3.3 Introduction to Convolutional Neural Networks for Visual Recognition

3.4 Classic ConvNet Architectures—LeNet-5

3.5 Classic ConvNet Architectures—AlexNet and VGGNet

3.6 TensorBoard and the Interpretation of Model Outputs

4.1 Comparison of the Leading Deep Learning Libraries

4.2 Introduction to TensorFlow

4.3 Fitting Models in TensorFlow

4.4 Dense Nets in TensorFlow

4.5 Deep Convolutional Nets in TensorFlow

5.1 Improving Performance and Tuning Hyperparameters

5.2 How to Build Your Own Deep Learning Project

5.3 Resources for Self-Study

Deep Learning with TensorFlow: Summary



Matt Demon

Learning Scientist & Master Trainer
Matt Demon has been a professional educator
for the past 18 years. He’s taught, tutored,
and coached over 900+ students, and he
holds degrees in Computer Science
from Harvard University. He has
spent the last 7 years studying how
people learn to code and develop applications.

John Britto
Learning Scientist & Master Trainer
He has been a professional educator for
the past 17 years. He’s taught, tutored,
and coached over 700 students, and
he holds degrees in Information Technology
from Brooklyn University. He has
spent the last 8 years studying how
people learn to code and develop applications.


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