Deep Learning (ICS-701) crash course, Online B.Tech, Semester 7:
Prepare training/optimisation (gradient descent, backpropagation, saddle points), Boltzmann machines (RBM/DBM and discriminative fine-tuning) and the…
- 7 video lessons
- 1h 7m
- Study notes
- 20 quiz questions
- Assignment
7 lessons in Deep Learning
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
Prepare training/optimisation (gradient descent, backpropagation, saddle points), Boltzmann machines (RBM/DBM and discriminative fine-tuning) and the NLP/speech pipeline as the three long answers; activation functions and LSTM gates give easy short notes.
- 1
Boltzmann machines: RBM, DBN, DBM
Must study for the exam (×4 · A7, A8, B4, C2 2 + 2 + 5 + 15 marks · MCQ, short note, long explanation).
Deep Belief Networks - Deep Learning Series - 3 | DBN· Computer Science Brainery· 11 min
Study notesWatch lesson - 2
Training and optimisation: loss, gradient descent, backpropagation, saddle points
Must study for the exam (×4 · A2, A4, B2, C3 2 + 2 + 5 + 15 marks · MCQ, short note, long explanation).
Back Propagation Algorithm /Back Propagation Of Error (Part-1)Explained With Solved Example in Hindi· 5 Minutes Engineering· 10 min
Watch lesson - 3
Applications: NLP pipeline and speech recognition
Must study for the exam (×2 · A10, C1 2 + 15 marks · MCQ, long explanation).
Lec-36: Natural Language Processing in Artificial Intelligence in Hindi | NLP with Demo and Examples· Gate Smashers· 17 min
Watch lesson - 4
Neuron models and activation functions
High value for the exam (×4 · A1, A3, A6, B1 2 + 2 + 2 + 5 marks · MCQ, short note).
Various Activation Functions with Real life Use-cases · Gate Smashers· 6 min
Study notes 5 quiz questionsWatch lesson - 5
LSTM / recurrent networks
High value for the exam (×2 · A5, B3 2 + 5 marks · MCQ, short note).
LSTM Recurrent Neural Network (RNN) | Explained in Detail· Learn With Jay· 17 min
Study notes 5 quiz questionsWatch lesson - 6
Regularisation: Multi-task learning
High value for the exam (×1 · B5 5 marks · short note).
What is Multi-Task Learning? (MTL Explained for Beginners)· CodeLucky· 3 min
Study notes 5 quiz questionsWatch lesson - 7
Variational autoencoders
If time permits for the exam (×1 · A9 2 marks · MCQ).
Variational Autoencoder - Explained· DataMListic· 3 min
Study notes 5 quiz questionsWatch lesson
Assignment
ICS-701 Exam Practice Set: Neurons, Training, LSTM, RBMs, MTL, VAE and Applications
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Hand-picked video lessons
7 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
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Study notes
5 lessons come with a summary, key points, key terms and takeaways for quick revision.
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Quizzes
20 questions across the course, with the right answer and why, the moment you pick.
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Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
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Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
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Progress that follows you
Completed lessons, quiz scores and where you stopped, saved to your account on every device.
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Live chat
A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.
The Online B.Tech live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online B.Tech. Ask a Deep Learning doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online B.Tech
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online B.Tech live chat
Anyone else finding Deep Learning tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz
Doing it now, thanks!
Starting Channel Hydraulics tonight if anyone wants to go together
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Deep Learning: common questions
Prepare training/optimisation (gradient descent, backpropagation, saddle points), Boltzmann machines (RBM/DBM and discriminative fine-tuning) and the NLP/speech pipeline as the three long answers; activation functions and LSTM gates give easy short notes. It's the Deep Learning subject of Online B.Tech, Semester 7, in 7 lessons: Boltzmann machines: RBM, DBN, DBM; Training and optimisation: loss, gradient descent, backpropagation, saddle points; Applications: NLP pipeline and speech recognition; Neuron models and activation functions; LSTM / recurrent networks; Regularisation: Multi-task learning; Variational autoencoders.
Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.
About 1h 7m of video across 7 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “ICS-701 Exam Practice Set: Neurons, Training, LSTM, RBMs, MTL, VAE and Applications”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.
A members-only live chat beside the video, shared by everyone studying Online B.Tech, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.
No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.