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Articles on this Page
- 04/06/18--07:54: _[P] Object Detectio...
- 04/06/18--08:52: _[P] An implementati...
- 04/06/18--05:58: _[R] Visualizing Rew...
- 04/06/18--07:03: _[D] Datasets for RN...
- 04/06/18--12:23: _[D] Which probabili...
- 04/06/18--05:14: _[R] MapNet: An Allo...
- 04/06/18--19:40: _[D] Will taking a c...
- 04/06/18--13:59: _[P] Optimization of...
- 04/06/18--08:09: _[P] A collaborative...
- 04/06/18--07:57: _[R] NeuroSAT: Learn...
- 04/06/18--05:12: _[R] Image Generatio...
- 04/06/18--07:33: _[D] Big Tech ethics...
- 04/07/18--01:01: _[R] [1803.10750] Ad...
- 04/06/18--06:19: _[P] A reinforcement...
- 04/06/18--10:23: _[P] A Tsetlin Machi...
- 04/07/18--00:39: _[P] Downloading 100...
- 04/07/18--07:52: _[D] Computer scienc...
- 04/07/18--02:26: _[D] Activation for ...
- 04/07/18--06:41: _[R] Recruiting stat...
- 04/07/18--18:06: _[N] A.I. that trade...
- 04/06/18--07:54: [P] Object Detection Demo - Detectron Drone Flight
- 04/06/18--08:52: [P] An implementation of WaveNet use Pytorch
- 04/06/18--05:58: [R] Visualizing Rewards in Reinforcement Learning
- 04/06/18--07:03: [D] Datasets for RNN benchmarking
- 04/06/18--12:23: [D] Which probabilistic programming library do you use?
- 04/06/18--13:59: [P] Optimization of CNC Cutting parameters using Gradient Descent
- 04/06/18--08:09: [P] A collaborative platform for getting more out of AI research
- 04/06/18--07:57: [R] NeuroSAT: Learning a SAT Solver from Single-Bit Supervision
- 04/06/18--05:12: [R] Image Generation from Scene Graphs
- 04/06/18--07:33: [D] Big Tech ethics vs Research & Open Source ML frameworks.
- 04/06/18--10:23: [P] A Tsetlin Machine Implementation (Not from paper author)
- 04/07/18--02:26: [D] Activation for Landmark Detection
- 04/07/18--18:06: [N] A.I. that trades stocks with you
Which are the most used datasets to benchmark recurrent NNs (including LSTM/GRU variants)?
On many papers I've already seen TIMIT, IAM, MNIST and musical datasets. I'd rather datasets for unidirectional RNNs.
Hello, I was looking for a library to get into probabilistic programming (preferably python). I've seen a lot of comparison between stuff like tf and pytorch but not really much between probabilistic programming packages like pymc3 and Edward. Do you guys have any suggestions about the pros and cons?
Hello all, so in my Uni there is a ML program but I need to take some other courses to fill full time status. My prof recommended me to take DSP, and I was wondering how that might help me in the ML field. If anyone can shed some light on this it would be very helpful!
By now, there's pretty good evidence that not everything big tech is doing is good, esp. Google, FB, Uber, and Amzn.
Discrimination, excessive data collection and misuse, project Maven (the Google AI project with the Pentagon), monopolistic behaviors, ads ads ads... The list goes on and on.
The $ that comes (directly and indirectly) from these questionable activities funds projects that we all use on a daily basis: Tensorflow, PyTorch, Pyro, AWS, ...
The $ that comes (directly and indirectly) from these questionable activities also funds some of the most remarkable research in the field.
Contrast this with ethically cleaner, more academic projects like sk-learn (and to a lesser extent mxnet), and to ethically cleaner research conducted in academic settings.
Sometimes it's impossible to compete with massive amounts of money thrown at a problem - often resulting in the death of independent projects and independent research.
Should we, as a group, be more mindful of this distinction and go out of our way, when possible, to support research and frameworks whose funding sources aren't "compromised"?
Hi. I live in scandinavia and am currently in my second year taking a bachelors in computer science. I find uni a bit slow, rigorous and boring, but its going OK.
However, I recently became aware that Siraj Raval has started a program with the promise of teaching cmoputer science in 5 months. Mostly by viewing online lectures and youtube videos at 3x speed. Having the cerification of a bachelors is nice, sure, but I have to pay 50$ school tution every semester and the state only covers about half of the loan for my living expenses (2% interest rate!!11). This makes me insecure if im wasting my time and money???
Help, anyone? I want to break into AI.
PS. Don't delete. Very serious.
I am currently trying to build a landmark detector and found a few papers on this topic specially for Facial Landmarkdetection. My current implementation is a VGG net with few fully connected layers at the end which are supposed to produce the x/y coordinates scaled to the respective interval of the last Activation layer (eg 0-1 for sigmoid or -1 to 1 tanh).
I am currently facing the problem, that the network works quite good but the closer the landmarks are too the border the higher the error margins are. I tried a clamped relu(0,1) but it improved the accuracy by maybe 2% to 86%. The dataset I am using is(currently) fully generated and spreads the landmarks uniform (still in pattern) across the input.
Now my question:
Should I just move the landmarks more inwards (maybe pad the input) or are there other things I might have missed?
I am a graduate student conducting a research study about the skill and knowledge sets of statisticians/data analysts and their perceived career success. Participation involves filling out a questionnaire, which is expected to take approximately 10-15 minutes to complete. Participants must be 18 years old or older. If you are interested in participating, click here to take the survey. If you have any questions or concerns, I can be reached at Harold.firstname.lastname@example.org. Thank you very much for your consideration