About the Trainer:
Name: Dr. V.P. Nanthini Sundar
Degree: Ph.D
Total Experience: 14+ Years
Average Rating of this course: 5 / 5
Know More @: https://www.vpntrainer.com/About.html
Deep learning is a subset of machine learning, which is AI that can adapt automatically with minimal
human input. Deep learning models are typically neural networks with many layers. Neural networks
are made up of interconnected layers of neurons or nodes that can receive data up to a certain value
and then pass it on to the forthcoming layers. Deep learning models identify complex patterns like
text, pictures, and audio to produce accurate predictions and insights.
This course will essentially describe one of the types of deep learning models that includes
Convolutional neural networks (CNNs). It is used for image and video processing because they can
recognize patterns in images. CNNs are powerful tools but require millions of labeled data points
for training to have better model accuracy. Various deep learning packages like Tensorflow, Pytorch
and keras will be covered in detail. This course will include projects such as Speech recognition:
Used in phones and smart speakers, Facial recognition: Used in photographs Video processing and
Object Detection.
This course will equip you as an expert DL Engineer to deal with big data. This will teach you how
to work with predictive analytics in an efficient manner to build applications using the latest
Python techniques. You will acquire wide practical exposure to expand your business / company by
enhancing your existing application with this well curated comprehensive Deep Learning
course.
This course is open to both engineering and arts college students. Upon successful completion they
will certainly get a good job with nice package. And is suitable for working professionals as well
who wish to have their domain change. This course is for everyone being fresh graduates, pre final
year trying for placements (both computer and non computer engineering / arts), UG, PG to be
graduates, working professionals seeking for domain change/ new offer with nice package and for
professors from any department and research scholars, and to all UG, PG students who wish to do
final semester project using Python. 15+ End to End projects will be taught and new challenges will
be given based on participants wish to make them try on their own.
- Intro to NN
- Perceptron
- Weights in Perceptron
- MutilLayer Perceptron
- Forward Propagation and Backward Propagation Intuition
- Back Propagation
- Chain rule
- Maxima & minima
- Back propagation
- Cost function for deep learning
- Gradient Descent Algorithm
- Activation Functions
- Why do we need Activation Functions
- Seven different Activation Functions
- Loss Function
- Introduction to Loss Function
- Binary and categorical cross entropy / log loss Project - NN on Structured Data
- Loan Prediction Problem
- Assignment
- Sales Prediction
- Read World Use Cases
- Object Detection, Segmentation, Image Generation
- Sequential Modeling
- Deep Learning Python Packages
- PyTorch
- Tensorflow
- Keras
- Convolutional Neural Network using PyTorch
- Implementation of CNN In PyTorch
- Weight Initialization
- Autoencoders
- Transfer Learning in PyTorch
- Derivatives (for Neural network)
- Derivatives
- Intuitive idea of derivatives
- Increasing & decreasing function
- Deep Learning for Cancer Detection
- Long short term memory network (LSTM)
- Implementation of RNN and LSTM – Stock Prediction
- Hyperparameter Tuning
- Regularization Techniques
- Optimization Algorithms
- Generative Adversarial Network (GANs)
- Deployment
- Introduction to Deployment
- Deploy a Model
- Topic wise case discussion and related projects
- Avail Live Instructor-Led Online Class for Deep Learning Course.
- Gain thorough knowledge in DL.
- Hands on session will be provided for each topic with due homework and assignments.
- Each session is packed with related content, hands-on learning, and opportunities to ask questions.
- We will provide Top 50+ Latest Deep Learning Interview Questions & Answers.
- Vpntraining solutions will conduct Mock Interview on Deep Learning Algorithms towards the end of this Course.
- We will assist you to build your resume according to your Skill Set & Experience.
- Course Duration is 30 hrs with total Hands-on Training.
- Our hands-on learning method not only helps you learn faster but also helps you see how quickly to apply your knowledge.
- Weekdays classes will be for 1 hr starting from 6.30 am IST to 9 pm IST and weekend classes will be for 2 hrs between 10.30 am to 9 pm IST.
- Flexible timeslots can be chosen.
- You can choose 1:1 Online Classes for Deep Learning Course at your flexible timing.
- Distinct batch for Fresher’s and Experienced Candidates will be provided.
Suman Mishra
Dr. Nanthini Ma'am, who taught me deep learning while I pursued a dual major in Finance and AI, was exceptional. Her expertise, real-world examples, and interactive teaching approach made the subject engaging and relevant. Ma'am provided one-on-one support, helping me grasp complex concepts. In summary, Dr. Nanthini Ma'am's teaching significantly enhanced my understanding of deep learning and its relevance to finance and AI, making her an outstanding educator.
02 Nov, 2023
Basra Jehangir
The classes are interactive and the trainer has complete knowledge of the subject. The trainer had given us hands-on which helped us in clarifying the concepts. A detailed description of all the concepts related to deep learning was given like activation function, convolutional layer, Maxpooling layer, etc. were given.
29 Jun, 2022
Vemulakonda Divya
This online course was very helpful and has great experience. Training was very interesting. Taught deep learning concepts very clearly from basics.
18 Jun, 2022
Sujeevana
Deep learning was the topic which is most important and it is mandatory to learn every part of it. I gained the knowledge on every part of deep learning it may be the basic part, medium or hard. I feel grateful to have trainer like her. Thank you for sharing knowledge with us.
18 Jun, 2022
Sudhanshu Mathur
All relevant were topics were taught and understood well. Proper hands-on were given with encouragement of high level of participation. Teachings helped me in clearing all the related assessments.
18 Jun, 2022
Masimukkula Jyothika sai
Deep Learning training provided by the trainer was very helpful for me in gaining knowledge of the related topics. All the doubts in the discussed projects were made clear by the trainer. Sessions were very engaging.
18 Jun, 2022
Gandikota Naga praharsha
It was a good experience with some good projects and home work. Loved the interactive sessions relating everything with daily life.
18 Jun, 2022
Udit Sinha
The topics were very detailed and informative. Ma'am explains each topic with utmost attention and makes the class very interactive and interesting.
18 Jun, 2022
Majji Dileep kumar
Almost every topic is covered in a well detailed manner .Hands on Deep Learning projects are very good. I developed my Fundamentals as well as in depth understanding of concepts very clearly. The sessions were very much interactive with the trainer so that I clarified my doubts. Now I also developed my own project by this training. I learnt much from this, Thanks for making this much clear.
17 Jun, 2022
Marri Teja sai chand
I was trained for the deep learning and I can say that the topics taught are in detail and the way of explanation is very good . I am currently working as an intern in cognizant Technological solutions and I am from Hyderabad.
17 Jun, 2022
Sai Pratheeka
The course was very helpful . It helped me a lot to understand the deep learning concepts. I could understand how the algorithms work . I even worked on a project with the help of the concepts that I learned in the course.
17 Jun, 2022
Honey Gupta
Excellent training, got meaningful insights out from her. I gained deep knowledge about the topics. Thank you so much for your support. Highly recommended to all.
16 Jun, 2022
Contact Dr. V. P Nanthini Sundar to proceed further!
☎
Mobile Number: +91 9176784926
✉
Email ID:
support@vpntrainer.com
LinkedIn: https://www.linkedin.com/in/dr-v-p-nanthini-sundar-31370161/