Where is all these details about Tensorflow documented? I am trying tensorflow website but not able to find anything related to core architecture of tensorflow and such low level details.
can the detection value of tensorflow be used as output on the LCD using raspberries? for example I want to detect money objects with a nominal of 1 dollar and several other nominal, after tensorflow can distinguish which one dollar and which other nominal, can the results of this detection be issued on the LCD with raspberries? so the output on the LCD is "1 dollar"?
Can someone please tell me what are the prerequisites for taking this course? I'm really into ML but i don't know where to start, I just finished my high school.
If you just finished your high school then the prerequisites would be to just focus in your class ..am not kidding. The mathematical back ground for the ML concepts are already there in your coming classes what you need to do is to understand the real concepts in it.. You might be weak in numeric computations but that can be easily solved though automation but make sure you create a good grip in the fundamental ideas. This mentioned algorithms are build on top of math , concepts like linear algebra , calculus and statistics. There are even deeper subjects involved in it. but this itself can give you a good idea later with your curiosity you can explore more . Start watching 3blue1brown videos you will get to knw some good concepts for this. there is a very easily way to do ml. that is copy pasting someone else code , i will not suggest you to do it . Because you are young so you can learn things your self and write your own code. The journey will be bit difficult but exiting.
Python. Dont think much about the prerequists. If you dont get a particular concept just google it and you will find some blog which simplifies the concept for beginners
I loved the way he encouraged the students without making their doubts feel silly. Wish my university had instructors like him
Great video....just awesome..just aweeeeeeesomeeeeeee
Nice job Ashish!
I like the Indian instructor! just hope that more focused on the architecture of tf than usage and ML concept.
Simplest explanation I have ever seen keep making these kind of videos
Where is all these details about Tensorflow documented? I am trying tensorflow website but not able to find anything related to core architecture of tensorflow and such low level details.
Great overview about machine learning in TF. Thanks.
This is better than freecodecamp
Great Most usefull stage for every developers to get involved in these sessions
This is inTense !
I really apreciated this video, i think its really usefull and friendly!
I liked it. Very good
can anyone help me find the Jupiter notebook GitHub link used in the course
github.com/tensorflow/workshops/tree/master/extras/archive
@@ashishtendulkar9817 Thank you
Thanks for the insightful session. Can you please tell how can we attend such sessions in future? Is the information available on meetup
can the detection value of tensorflow be used as output on the LCD using raspberries? for example I want to detect money objects with a nominal of 1 dollar and several other nominal, after tensorflow can distinguish which one dollar and which other nominal, can the results of this detection be issued on the LCD with raspberries? so the output on the LCD is "1 dollar"?
could you make the jupyter notebooks available online?
nicely explained
Thank you for the awesome session! If possible,can you share the link to the slides ?
sir , thanks!!!!
Hi! I'm from GDG BHUBANESWAR. Can I please have access to the github links?
Hi from France !
github.com/tensorflow/workshops/tree/master/extras/archive
Thank you for sharing ...
Did not understand much about Tensorflow
Can you state a example scenario
Thanks Sir
Thanks !!
Can someone please tell me what are the prerequisites for taking this course? I'm really into ML but i don't know where to start, I just finished my high school.
If you just finished your high school then the prerequisites would be to just focus in your class ..am not kidding. The mathematical back ground for the ML concepts are already there in your coming classes what you need to do is to understand the real concepts in it.. You might be weak in numeric computations but that can be easily solved though automation but make sure you create a good grip in the fundamental ideas.
This mentioned algorithms are build on top of math , concepts like linear algebra , calculus and statistics. There are even deeper subjects involved in it. but this itself can give you a good idea later with your curiosity you can explore more . Start watching 3blue1brown videos you will get to knw some good concepts for this.
there is a very easily way to do ml. that is copy pasting someone else code , i will not suggest you to do it . Because you are young so you can learn things your self and write your own code. The journey will be bit difficult but exiting.
Python. Dont think much about the prerequists. If you dont get a particular concept just google it and you will find some blog which simplifies the concept for beginners
Right Right after every sentence is very distracting. However it's clear that speaker is very knowledgeable
16:04
It does not have 2 rows and 3 cols. It the other way round. 3 cols and 2 rows.
Read your comment again.
github.com/tensorflow/workshops
GITHUB link for this workshop series
the github hub link
githuub link please.
github.com/tensorflow/workshops/tree/master/extras/archive
"Chennai, India" Why no mention of where it's being hosted - IIT Madras 🤔
Bhavin Chandarana maybe because Google paid for it so it's not really an IIT Madras conference
Coz nobody cares
This is not clear at all.
I know right? I am baffled to see how everyone in this comment section seems to think he explained everything clearly.