Deep Learning with Theano Training in Gurgaon, Delhi

Deep Learning with Theano

Learn the Deep Learning library for Scientific Computing

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Dive into the foundational technology that powered the deep learning revolution with our course on "Deep Learning using Theano." Theano is a highly influential library, often called the "grandfather" of deep learning frameworks, but its development was officially ended in late 2017. Theano remains a crucial library for researchers and practitioners seeking a deep understanding of symbolic computation, automatic differentiation, and low-level GPU acceleration. Mastering Theano's approach to gradient calculation (backpropagation) and its efficient compilation to native code (C++/CUDA) for the GPU will provide you with the necessary expertise to debug, customize, and optimize the performance of any advanced deep learning model, offering a competitive edge in foundational AI research and architecture development.

Theano provides a transparent, low-level interface to build, optimize, and evaluate mathematical expressions involving multi-dimensional arrays-making it ideal for those who want to understand the inner workings of neural networks. Learners will gain the skills to construct custom deep learning models from scratch, implement backpropagation manually, and optimize performance using symbolic differentiation and GPU acceleration. This course is perfect for those who want to go beyond high-level APIs and gain a deeper understanding of how deep learning models are built and trained under the hood.

This course focuses on its core concepts (symbolic computation) and its high-level wrapper, Lasagne, which was commonly used for building networks. It is primarily for historical or advanced academic purposes.

This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your DL/ML toolkit, this program delivers the skills and confidence to thrive.

Target Audience:-
-Developers and engineers with basic Python and ML knowledge
-Data analysts and scientists transitioning into DNNs
-Students and professionals preparing for AI-focused careers
-Tech enthusiasts eager to explore predictive modeling and automation
-Statisticians and Mathematicians

Program Outcomes:-
-Understand the core principles of symbolic differentiation and the role of the computational graph
-Define and compile complex mathematical operations
-Implement automatic differentiation
-Leverage Theano's compiler to optimize expressions for CPU and GPU execution
-Build and comprehend the mechanics of core neural network layers

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-You have hands on exp with Machine Learning / Hadoop technologies with a genuine interest in Deep Learning.

-You need to know basic Python such as lists, dictionaries, loops, functions and classes

-You need to know basic differentiation

-You need to know basic algebra

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Theano Fundamentals and Symbolic Computation
✔ Theano Philosophy and Context
✔ Theano Variables and Data Types
✔ Building the Computational Graph
✔ Compilation and Execution
✔ Automatic Differentiation (T.grad)

Module 2: Building Blocks: Core Neural Network Implementation
✔ Activation Functions
✔ Manual Forward and Backward Pass
✔ Defining the Loss Function
✔ Optimization Step
✔ Data Handling and Batching

Module 3: High-Level Abstraction with Lasagne
✔ Introduction to Lasagne'
✔ Standard Layers in Lasagne
✔ Weight Initialization and Regularization
✔ Training with Lasagne
✔ Extending Lasagne

Module 4: Advanced Architectures (Lasagne/Theano)
✔ Convolutional Layers
✔ Building a CNN Classifier
✔ Recurrent Layers
✔ Sequence Modeling Example
✔ Theano Scan Function

Module 5: Performance and Ecosystem
✔ GPU Acceleration
✔ Advanced Optimizers
✔ Serialization and Model Saving
✔ PyMC3 Integration (Conceptual)
✔ Transition to Modern Frameworks

Module 6: Model Optimization and Regularization
✔ Dropout, weight decay, and batch normalization
✔ Learning rate scheduling and early stopping
✔ Hyperparameter tuning strategies
✔ Monitoring training with custom metrics

Module 7: Model Deployment and Legacy Integration
✔ Saving and loading Lasagne models
✔ Exporting models for inference
✔ Comparing Lasagne with modern frameworks (TensorFlow, PyTorch)
✔ Migrating models to newer platforms

Module 8: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset and problem domain
✔ Design, train, and evaluate a deep learning model
✔ Document and present findings with visualizations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.