Location:Main Road, Bangalore


Deep Learning Pytorch




Deep Learning Professional Training


All Job Seekers


Online and Classroom Sessions


Week Days and Week Ends

Duration :

2 Months

Deep Learning What will you learn?

•Troubleshoot advanced models in Deep Learning.
•Deep Learning Script How to apply and use it.
•A Beginner’s Guide to Deep Learning Coding from scratch
•Learn how to handle errors and exceptions in Deep Learning.
•Learn or brush up with the basics of Deep Learning
•Learn how to model in Deep Learning with no previous experience
•An easy way to learn one of the widely used Deep Learning
•you will be confident in your skills as a Developer / designer
•Have an understand of Deep Learning and how to apply it in your own programs

deep learning pytorch Course Features

•Get job-ready for an in-demand career
•Get Training from Certified Professionals
•Flexible batch timings – Weekend & weekdays.
•Online Training with 100% placement assistance
•Facility of Lab on cloud available (based on booking)
• Finessing your tech skills and help break into the IT field
•Our trainers have experience in training End Users & Students & Corporate employees.
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Deep Learning

•Big Data, E-commerce, Cloud Computing, Sap, Erp, Application Programming, Web Development
•It Software, .net c# asp.net, Java Developer, technical support engineer, Automation Testing, Software Engineer, java, Basis, Sap Basis, Netweaver, Solution
•Java, Scrum Master, Agile, C#, It, Al, Big Data, Hadoop, .Net, Non It, It Recruitment, Ios, Android, React, Web Designing, Selenium, Testing, Qa, Cloud
•Sap, Process Executive, Hadoop Developer, Hadoop Architect, Sap Srm/snc Testing, Sap Pp / Qm Testing, Sap Ewm Testing, Sharepoint Developer, T24 Technical And
•Sharepoint Architect, Mobile Architect, MSBI Module Lead, Filenet Developer, WBM, IBM BPM


Welcome Aboard
•Why PyTorch is Powerful
•Getting System Ready
•Create Tensors in Pytorch
•Tensor Slicing and Reshape
•Mathematical Operations on Tensors
•Numpy in Pytorch
•What is CUDA
•Pytorch on GPU
•Download Materials
•Assignment on Pytorch Basics
•AutoGrad in Pytorch
•Implementing Gradient Descent using Autograd
•Assignment on Autograd
•1 question
•Creating Deep Neural Networks in Pytorch
•Building first neural network
•Writing Deep neural network
•Writing Custom NN module
•Assignment on Deep Neural Networks
•CNN on Pytorch
•Data Loading – CIFAR10
•Data Visualization
•CNN Recap
•First CNN
•CNN Deep layers
•LeNet Architecture in Pytorch
•LeNet Overview
•LeNet Model in Pytorch
•Preparation & Evaluation
•Optional Learning- Python Basics
•Why Computer Programming Language
•Why Python?
•Getting System Ready – Installing Jup[yter Notebook
•Jupyter Notebook – Tips & Tricks
•What is Covered in this section
•Variables in Python
•Print Function
•Numeric Data Type
•String Data Type
•Boolean Data Type
•Type Conversion & Type Casting
•Adding Comments in Python Programming Language
•Data Structures in Python
•Tuples & Sets in Python
•Python Dictionaries
•Conditional Statements in Python – if
•Conditional Statements in Python – While
•Inbuilt Functions in Python – range & input
•For Loops
•Functions in Python
•Classes in Python
•Mini Project with Python Basics
•Mini Project – Hangman
•Writing a class
•Mini Project – Continued
•Logic Building
•Logic for Single Letter input
•Final Testing
•Python for Data Science – Numpy
•Why Numpy?
•Resize & Reshape of Arrays
•Mathematical Operations & Functions in Numpy
•Python for Data Science – Pandas
•Pandas Library
•Pandas Dataframe
•Pandas Dataframe – Load from External file
•Working with null values
•Slicing Pandas Dataframe
•Python for DataScience – Matplotlib
•Matplotlib Introduction
•Format the plot
•Plot Formatting & Scatter Plot
•Bonus – Access to Other courses
•Special Access – Bonus
•Linear Algebra for Data Science
•Deep Learning Calculus
•Deep Learning from Scratch using Tensorflow – Keras
•Follow us on Youtube for free Learning Content