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Deep Learning with Keras and Tensorflow

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Deep Learning with Keras and Tensorflow

Keras Training Online

It is an important part of machine learning procedures that are based on artificial neural networks with representation learning. Deep learning is a significant part of machine learning methods which uses several layers to progressively extract higher-level features from the raw input. Most of the deep learning models are based on artificial neural networks, especially convolutional neural networks (CNN) s. Every level learns for converting its input data into a slightly more composite and abstract representation in deep learning. The term ‘deep’ in deep learning refers to the number of layers through which the data is transformed.

Course Overview

Prologinfo offers Deep Learning with Keras and TensorFlow courses that will help in understanding the basic concepts of deep learning with Keras and TensorFlow. It provides the fundamentals of deep learning with Keras and TensorFlow. The deep learning with Keras and TensorFlow training will help in mastering popular algorithms such as RCNN (Regions with Convolutional Neural Networks), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), CNN (Convolution Neural Network), and RBM (Restricted Boltzmann Machine) by using the TensorFlow in python. During the online training, you will work on several real-time projects such as Auto Image Captioning by using LSTM and CNN, Emotion and Gender Detection, and many more in our training. At the end of online training, you will learn about the fundamentals of Deep Learning and how it differs from machine learning. You will also study the fundamentals of Keras during the Keras training course. When you will get TensorFlow certification in Keras and deep learning, you will be professional in the concepts of Deep Learning, Keras, and TensorFlow which is beneficial for your career growth in the future.

Keras and TensorFlow Certification Key features

  • Learn how to use Keras python
  • Learn the differences between Keras and TensorFlow
  • Get the facilities for mock interviews and mock test sessions
  • Demo classes will be provided free of cost
  • Get training material re4lated to Tensorflow Keras
  • Get the answer to all your queries at any time

Who should take Deep Learning with Keras and Tensorflow Training

This online course is suitable for all professionals who want to learn about Deep learning with Keras and TensorFlow. There are several professionals who are suitable for this online course are given below

  • Analytical Managers
  • Data Scientists
  • Information Architects
  • Business Analysts
Top Hiring Company
Companies
Industry Trends
Top Hiring Companiess

Course curriculum / Syllabus

AI And Deep Learning Introduction
  • What is AI and Deep Learning?
  • Brief History of AI
  • Concept of UL, SL, and RL
  • Deep Learning: Successes Last Decade
  • Applications of Deep Learning
  • Challenges of Deep Learning
  • Deep Learning Project complete cycle
Artificial Neural Network
  • Perceptron Shallow Neural Network Vs Biological Neuron
  • Backpropagation
  • Role of Activation Functions and Backpropagation
  • Optimization
  • Regularization
  • Dropout layer
Neural Network and Tools
  • Applications of Deep Neural Network
  • Designing a Deep Neural Network
  • How to Choose Your Loss Function?
  • Tools for Deep Learning Models
  • Keras and its Elements
  • TFlearn Pytorch and its Elements
Deep Neural Net Optimization, Tuning, Interpretability
  • Optimization Algorithms
  • Momentum, SGD, Adagrad, NAG,  RMSprop, Adadelta, Adam
  • Concept of Width vs Depth
Convolutional Neural Net
  • Success and History
  • CNN Network Design and Architecture
  • Deep Convolutional Models
Recurrent Neural Networks
  • Sequence Data
  • Sense of Time
  • RNN Introduction
  • LSTM (Retail Sales Dataset Kaggle)
  • Concept of GRUs (Gated Recurrent Units)
  • Comparison of LSTM and GRUs
Autoencoders
  • Introduction to Autoencoders
  • Applications of Autoencoders
  • Autoencoder for Anomaly Detection

Deep Learning with Keras and Tensorflow FAQ’s:

1.What is Keras?

Keras is a deep learning framework and professionals can perform different types of experiments. It works at a fast speed and it can help you to go ahead of your competitors.

2.What is Tensorflow?

Tensorflow is an open-source library which can be used easily in Python. The library consists of different functions which help in numerical calculation.

3.What is Tensorflow used for?

Tensorflow can be used for developing text based applications, image recognition, voice recognition, and other things

4.Will I get the facility of demo class?

Yes! We will provide the facility of demo class

5.Will you develop our professional resume?

Yes! We will develop your professional resume.

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Why PROLOG INFO

Best Virtual training classrooms for IT aspirants

Real time curriculum with job oriented training.

Around the clock assistance

We are eager to solve your queries 24*7 with help of our expert faculty.

Flexible Timings

Choose your schedule as per your convenience. No need to delay your work

Mock projects

Real world project samples for practical sessions

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