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Python Deep Learning Training

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Course Introduction

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition and artificial intelligence (including the famous Alpha Go). In this course, you'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python.

Python Deep Learning

Setting up the environment

Installing Keras
Installing the Tensorflow Environment
Pytorch and Theano

Neural Networks

What is Neural Network
Different types of Neural Networks (CNN, RNN, LSTM)
How does Neural Network work
What are perceptron
Defining Neural Network Activation Function
Cost Function
Gradient Descent Backpropagation
Neurons and Hidden Layers
Regression Neural Network Problems using Tensorflow
Classification Neural Network Problems using Tensorflow

Convolutional Neural Networks

What is CNN
How does CNN work
Applications of CNN
Object detection, Face recognition using CNN

Recurrent Neural Networks

What is RNN
How does RNN work
Applications of RNN
Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)

Apriori Algorithm

What are Association Rules and how are they used
Antecedent and Consequent
Apriori Algorithm
Building a Market Basket Analysis
Autoencoders
Building a Recommendation System using Apriori Algorithm

NLP Model

What is NLP and how are they useful
Sentiment Analysis, Text Classification and Topic Extractions using NLP
Pre-Processing Steps and formation of TFIDF Vectors
Topic Extraction using LDA
Building a Sentiment Analysis using NLP and NN

Reinforcement Learning

What is Reinforcement Learning
Deterministic and stochastic environments
Markov Decision Processes
Reinforcement Learning Algorithm – Q-Learning, Bellman Equation, A3C Algorithm
Exploration vs Exploitation
Scaling up and Neural Networks as function approximates
Tuning Parameters and use cases using RL
Limitations of Reinforcement Learning

Future of Deep Learning

Applications of Deep Learning
- Pharmaceutical Industry
- Law
- Agriculture
- Robotics
Artificial Intelligence
Positives and Negatives of AI

FAQ

What are the Pre-Requisites of this course?

There are no particular prerequisites to learn Python course but basic knowledge in any of the programming language will be added a value advantage.

Why should you take Python Training?

Python is a highly popular object-oriented language which is simple to learn and easy to deploy as well. Python can easily run on various systems like Linux, Windows, and Mac. After the completion of , Python Training in Hyderabad, aspirants can easily work on Big Data Hadoop Environment for very high salary package range. Python is completely with Language Interoperability and documentation system with hierarchical module system to boost revenues.

Who can take this Python Course?

Freshers and Graduates
Those who are showing interest to build their career in Python
IT Professionals
Communication Professionals
Analytical Professionals
Big Data Professionals
Network Professionals

Can I attend a demo session before enrollment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight into how are the classes conducted, quality of instructors and the level of interaction in a class.

Can you schedule the training based upon my availability?

Yes, we will discuss with our instructor and will schedule according to the time convenient to you.

What if I have more queries?

Just give us a call at +91 9989971070 OR email at info@pythonschool.in