Event Details

ICFOSS is organizing an Online Certificate program in “Deep Learning”. This program runs from 12^th August to 2^nd September 2024, to enable the participants to critically evaluate and adapt deep learning methods to new challenges and domains.

Objectives:

This course typically includes providing a comprehensive understanding of neural networks and their architectures, equipping participants with the skills to design and train deep learning models for various tasks such as image classifications. Additionally, it seeks to familiarize learners with cutting-edge research in the field and prepare them to apply deep learning algorithms to real-world problems. This program spans 15 days (2Hrs/Day/Online- Except holidays).

Participants will acquire dedicated live online support from experienced mentors at ICFOSS, ensuring comprehensive guidance throughout the program. Progress will be evaluated through assignments, simulation test and project.

Course Highlights:

Duration:

• 30 hours of Industry-Lead Training (2Hrs/Day for 15 days-Except holidays )

Topics :

• History, importance, differences between ML and DL, applications, overview of neural networks, Neuron structure, activation functions (sigmoid, tanh, ReLU), forward and backward propagation, Loss functions, optimization techniques (Gradient Descent, Adam), overfitting and regularization, Introduction to TensorFlow, building and training a basic neural network, Introduction to PyTorch, building and training a basic neural network, CNN architecture, convolution and pooling layers, use cases (image classification), Hands-on session: Building and training CNNs using TensorFlow, Hands-on session: Building and training CNNs using PyTorch, RNN architecture, use cases (time series, NLP), problems (vanishing gradients), LSTM and GRU architectures, advantages over RNNs, use cases, Building and training RNNs, LSTMs, and GRUs using TensorFlow and PyTorch, Concept, architecture, applications (dimensionality reduction, anomaly detection), GAN architecture, training process, applications (image generation, style transfer), Pre-trained models, fine-tuning, applications in image and text data, Methods for deploying simple DL models

• Online Examination and Project Presentation

Target Audience:

• Students, Faculty, Professionals and Others, in the field of Science and Engineering.

• The number of participants for the proposed program is limited to 50 nos per batch.

Certification Criteria: Certification will be issued to participants who qualifies with:

• 80% of attendance

• 50% marks in Online Examination

• 50% marks in Assignments

• 50% marks on Project

Prerequisities: Proficiency in programming languages such as Python is essential for implementing algorithms and working with deep learning frameworks, as Deep Learning course typically include a strong foundation in linear algebra, calculus, and probability theory.

Dates:

Registration Fee: Rs. 3,000 /-

For online payment, the bank accounts details of ICFOSS is as follows:

Application Deadline: 7^th August 2024

Registration Link: https://applications.icfoss.org/Deep_Learning/

For more details of the program, please contact +91 7356610110 | +91 2700012 /13 |+91 471 2413013 | +91 9400225962 | between 10:00-17:00 hrs for any clarifications.