Amit Theoretical Deep Learning
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Hi,
I have been an aspiring problem solver for 10-14 yrs. I was in the top 3 math solvers in my institute. I am great at math, data structures and algorithms, deep learning algorithms, etc. I have worked in MNCs and startups before as Machine Learning Engineer, and was part of several Research Teams across the world until now. I have more than 7+ yrs experience only in deep learning.

If you want to get an Intuition of deep learning, in depth, you can join my course. We will be going into the depth of theory associated with Deep Learning. After this course you should be able to understand Deep Learning models intuitively. Your theoretical foundation will be built here.

Current Scenario:
* Right now I only take two types of sessions:
1) Doubt Solving Sessions for JEE Math / DSA / Codeforces < 2200. You are supposed to give me the questions atleast 1 day beforehand.
15 min session fee: (JEE = Rs. 150, DSA = Rs. 450 depends on the question).

2) Deep Learning Theory Course, with a batch size of 3-5. Deep Dive into Intuition of the introductory aspects. This course will focus on pure theory and not implementation. It is going to be very mathematical in nature, so students are advised to be familiar with basic college math.
Prerequisites = Basic Calculus, Basic Probability Theory, Basic Linear Algebra (matrices and vectors).
Course Duration = 4 weeks.
Course Fee = Rs. 14999 /-

Please Note:
* By doubts I mean "questions" that have appeared officially somewhere (programming platforms, JEE books, exams, etc). The reason being that solving questions based on random thoughts can be unyielding and not necessarily always promising, especially in competitive domains.
* While solving the questions, I will explain you the concept behind in detail. Often you'll be taught about multiple fast techniques to solve a single question.
* Deep Learning Course will NOT include teaching HOW to implement the models. The main focus will be on theoretical aspects. Main reason is because with the rise of AI chatbots like ChatGPT, implementation is going to be very easy in future. All you would need is a mathematical mind to know AI models in depth.
* When more familiar, Math becomes Art! Actually anything, becomes Art, upon familiarity!!

Subjects

JEE (Joint Entrance Test)
Deep Learning Intermediate-Expert
DSA (Data Structures and Algorithms) Beginner-Expert

Experience

No experience mentioned.

Education

BTech (Jun, 2017–Jun, 2021) from IIT Roorkee

Fee details

₹600–5,000/hour (US$7.14–59.46/hour)

JEE Math (Doubt) - Rs 150 per 15 min
DSA (Doubt) - Rs 450 per 15 min

Deep Learning Theory Course - Rs 14999/-

Courses offered

Deep Learning Intuition (Advanced)
- ₹14999
- Duration: 4 Weeks
- Delivery mode: Online
- Group size: 3
- Instruction language: English, Hindi
- Certificate provided: No
With the advent of smart AI chatbots like ChatGPT-4o, you might be wondering what's next. When you look at leaders worldwide and hear their opinions about the limitations of AI, it can be confusing. You may also have many thoughts about which architectures you want to build in the future and want to understand AI in detail. You might find yourself assuming what others say because you feel not qualified enough to make judgments about the theory associated with AI. Not until now!

This course builds up the very fundamentals in deep learning (a part of AI). It will provide you with intuitive insights into how deep learning models work. This course will be a foundation in the theory of deep learning. The instructor will guide you through various architectures and their workings in detail. Our theoretical assignments will help you dive deep into what's going on mathematically.

Mathematics is the common ground where various intuitive thoughts can be analyzed together. It is the most essential component to get started with the intuition of AI models. Without it, you might always have to assume what others say.

Hence, to successfully enroll in this course, you will need a basic knowledge of calculus, probability, and linear algebra, and most importantly, a strong will to understand Deep Learning Theory.