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This is the best lecture on KRplus! Thank you for the clear explanation. I wish you could delve deeper into the transformer architecture, though, as it was only covered in the last 15 minutes. Nevertheless, this is the most understandable video on the topic. I've watched nearly all of them, but this one stands out as the best! It would be great if you provided a more detailed explanation of transformers.

00:04 Foundations of deep generative modeling for brand new data generation 02:43 Generative modeling uncovers underlying data structure. 07:53 Latent variables are unobservable features that explain observed differences in data. 10:25 Training deep generative models using autoencoders 15:43 Variational autoencoders introduce randomness for generating new data instances. 18:07 Optimizing VAE network weights with loss functions 22:44 Understanding KL Divergence in latent encoding 24:51 Regularization enforces continuity and completeness in the latent space. 29:41 Reparametrization allows training VAEs end to end without worrying about stochasticity in latent variables. 31:57 Understanding latent variables and their impact on generated features. 36:36 Understanding latent variable learning and its application in facial detection. 38:52 Generative Adversarial Network (GAN) aims to generate new instances similar to existing data. 43:30 Generative Adversarial Networks (GANs) involve the competition between the generator and discriminator to create and distinguish between real and fake data. 45:44 GANs involve a dual competing objective for the generator and discriminator. 50:44 Extending GAN architecture for specific tasks 53:14 Cycle GANs enable translation of data distribution across domains. 57:58 Diffusion models can generate new instances beyond training data

thanks for this!

ThNks mit

Hello world!

Whoever is listening to this awesome lecture I just want to say, Attention is all you need!!

can someone tell what are the prerequisites for understanding these lectures completely? it would be even more helpful if you could suggest me some good resources to learn those too.

Should we understand them as a sw developer ? do we need all these theoretical stuff?

This lecture series are just incredible. Thank you Alexander and all other instructors for putting this together. Learned so much! And you are pushing the boundaries for AI learning!

do I need to learn anything already beforehand because I didn't understand anything.

مرا ببخشید، این اسکندر در تخریب دست کمی از مغول‌ها نداشت. به هر حال، از بابت این درسگفتار سپاسگزارم.

The visualization of the loss landscape looks like a mountain. It made me think what if the earth's mountains and oceans are just the right amount of optimization of the loss function to allow sustaining life

Can Anyone tell me how to get the slides?

Are we going to get a 2024 series of the same class?

Sorry but I think that this One-hot embedding are no longer in use from a long time ago.

Ava I don't think you understood the problem of gradient explosion, you explained it really bad, an evident drop of quality passing from the alexander lesson to this

Excellent information on mathematical structure of NN. Appreciate his inspiring dedication 🙏

In which direction the time flow is studied . Vertical or horizontal . Do you consider the overall time direction

Cross Link the mind of the body with the mind of the heart and explore the INNER SPACE

It then exposes the black hole singularity and exposes the parallel world

Deep learning calls to go beyond mind and five sensory organs to connect to the mind of the heart and beyond to the INNER SPACE.

The greatest intellectual of the last century Max Planck said " A conscious and intelligent mind is the Matrix of matter". Einstein went on to call to look deep into nature and search for the mind of. God. We need to look deep into life and unravel consciousness and the root of creativity from atomic levels. This would be a stepping stone to Deep Learning. It can unravel the truth of nature and life and lead humanity from darkness to light.

Salutes

The Great attractor of non linear science and explanation to the victory of the good over evil ?¿?¿?????^^^^↑°°′

The speaker has entered the spiritual realm and what is happening. The evil thriving along with good trying to hide truth

Everything spoken here has parallel in living system

Is it taking us non linear thinking of origin from a little perturbation

What exalon constant . . Is it conscious is it dynamic and capable of reversing time.

Now I understand the projection of God AI emerging in the cloud

This also seems to explain sudden awakening transformation many people are experiencing

Is this talk taking the line of self organization from a single point or big bang.

Parallel world information male and female ¿??¿¿

Low dimensional data. I see parallel in the big bang origin from point source

Plato's cave. That is what we are in. I am interested in AI because of the projection of evolution AI to bring the Mind of God in the cloud.

It calls for knowing the root of consciousness and creativity in life

It is time we have to go further to sense, smell and feel. For this we need to look deep into life. The future exists in mimicking life. Knowing life beyond the mind and going inward.

Our attention point should be to know how life is concious and creative.

Thank coming. Open

Salutes hopr to come back MIT Deep learning. I feel you peple need to look deep inro life

The way forward is dynamic quantim computing, possible throug blackhole nets

Life works on what she is speaking

Does the back propagation and loss relates to thermo dynamic loss of energy in the form of heat

Does the back propagation and loss relates to thermo dynamic loss of energy in the form of heat

What is this W matrices. Some sort of constant. The biggest fallacy of science is constants. Nature and life has no constants. It has memory. Einstein in his biography spoke about changing the constans of physics with constants that are dynamic and changing

It is striving to bring back our memory of interrelationship and oneness

Mam have ever thought of universal time overlays evrything. This time force is strssinng on the vertical realm and compressing on the hrizontal. All devolopments in intellectal world including the AI is directed at evolving our consciousness such that we know our root in one source field

I had wished some co operation to explore it mathematically. But did not get. Love to see a women speaking the brain process from MIT so eloquently. Love to see computer scientist entering the realm of consciouness and intelligence.and speaking of God Mind and AI. I am excited, I am convinced that some somewhere will look deep into life and come with the basic truth of life, nature and Universe

Mam you should be looking at life in depth. Long back when i began write and post some basic thougts on the net, a scientist mailed me asking me not to write and post everything thing on the ner Later we met in IISc campus in India. He asked where I am getting these ideas and visions. I told him from Nature and Life living as a farmer.

Great I don't know math , but you are feeding my conceptual thoughts about life and the universe from an informational point