AI & Deep Learning with TensorFlow

NVidya's AI & Deep learning with Tensorflow course will make you an expert in training and optimizing basic and convolutional neural networks using real time projects and assignments. You will also master the concepts such as Keras, TFlearn, SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM)

What are the objectives of this course?

After the completion of this Training, you should be able to:

  • Define Deep Learning
  • Express the motivation behind Deep Learning
  • Apply Analytical mathematics on the data
  • Choose between different Deep networks
  • Explain Neural networks
  • Train Neural networks
  • Discuss Backpropagation
  • Describe Autoencoders and varitional Autoencoders
  • Run a Hello World program in TensorFlow
  • Implement different Regression models
  • Describe Convolutional Neural Networks
  • Discuss the application of Convolutional Neural Networks
  • Discuss Recurrent Neural Networks
  • Describe Recursive Neural Tensor Network Theory
  • Implement Recursive Neural Network Model
  • Explain Unsupervised Learning
  • Discuss the applications of Unsupervised Learning
  • Explain Restricted Boltzmann Machine
  • Implement Collaborative Filtering with RBM
  • Define Autoencoders and discuss their Applications
  • Understand Keras Implementation
  • Understand TFlearn implementation

Who is it intended for?

NVidya Deep learning with Tensorflow course is designed for all those who want to learn Deep Leaning which would include understanding of Deep Learning methods, Neural Networks, Deep Learning uses Tensorflow, Restricted Boltzmann Machines (RBM) and Auto encoders.The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts 
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

Requirements

Required Pre-requisites Basic programming knowledge in Python Concept of Arrays Concepts about Machine Learning NVidya offers you a complimentary self-paced course Statistics and Machine learning algorithms Python Essentials

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Fees

Self Paced Training

$389