Deep Learning Tutorial with Python | Machine Learning with Neural Networks [Top Udemy Instructor]

[@ramsp35]

I have a doubt. Isn't the formula for softmax = e^x / sum(e ^ x) for each values of x? And the formula that's shown in the video (9:30) for softmax 1 / (1 + e^-x) actually meant for sigmoid?

[@naveed9999]

Completed the whole tutorial, exercise and project and thanks for putting this up on KZbin. This has gives me the little push I needed to start further learning in deep learning.

[@drakejohnson3803]

57:35 Using PyCharm 2019 CE and the tf.global_variables_initializer() and tf.Session() commands aren't working. I've tried almost everything and have been attempting to get this to work for half the day. Is there something I'm missing? Any help would be great.

[@Kirchert919]

iv got the same problem..... i guess its something to do with the version of tensorflow he used.

[@egnatious]

Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

[@Skandawin78]

You have a wonderful voice tone which is relaxing and i think is perfect for these kind of videos. Great job sir

[@kevin_kk]

yeah. it's really sad when some youtubers have awesome content but lack proper presentation. It's really an enticing subject to learn when you find one with both!!

[@solomonfekaduhailu]

Thanks for the video. My first journey into ML. Btw: for the spiral model, if you change the activation to "ReLU" gives a good spiral fit with just 3 hidden layers of 6, 4, 2 :). Great fun way to learn with the examples.

[@StokkerGold]

Very well done and thank you for sharing. Liked the mix of moral and Tech - important and appreciated you brought it in to the video.

[@frankx8739]

Free idea for a deep learning project: Make early phonograph recordings clear and steady so that they sound almost like modern recordings.

[@frankx8739]

@Saint Baker Nice.

[@YiannisPi]

On the spiral pattern, why even consider NN? A simple Knn with 3-5 closest neighbors would have done an amazing job on this problem. No need to force NN. Amazing video btw! you are a rock star!

[@alexfagan6249]

What version of TensorFlow is he using, I'm having lots of trouble with setup

[@sivabhimireddy2283]

Awesome video!! Taken in a lot... huge thanks for this ...

[@ofijanabu4689]

Awesome video thanks ☺️ could you please share how can realize communication system with deep learning

[@frankx8739]

'Gradient descent' has a pre-computer history: conceived as linear programming;s maxima-minima methods wayback before computers.

[@arnabpersonal6729]

my notebook says tensorflow has no attributes named global_variables_initializer

[@miicro]

The spooky part mentioned in RNN explanation is because this course doesn't explain in depth how the algorithms work. So it seems like it's magic, but it isn't. It's good to get your feet in ML, but it feels like after this course I will simply use pre-made models and will not be completely sure why they work, just that they do. Either way, thanks, this helped a bit!

[@kapildaga]

You are a rock star. Thanks for the lectures

[@udemy]

We're so glad you're enjoying Frank's videos!

[@bhesht]

This is exactly what I wanted for an overview, with meticulously crafted examples. Thanks!

[@udemy]

Thank you for the feedback. We're so happy you liked the video!

[@planet8491]

Awesome Video.. Just when i was thinking of learning CNN and RNN. Please can you make a video on Graph Neural Network. Thank you

[@elizabethjones3056]

I really like the advise sir Frank!! Interesting. Easy to understand. 25 min in. Thank u Please upload more videos

[@paulrowlett3352]

Interesting. Easy to understand. 25 min in. Thank u Hi Frank, thank you for sharing this great content.

[@cherrydarlingjosephd.2957]

I really like the advise sir Frank!! Good effort...thanks I really like the advise sir Frank!! Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

[@mel_cosentino]

Note: you can add more features instead of more neurons to get a faster and better result!

[@robinbartsch6940]

I really like the advise sir Frank!! Good effort...thanks I really like the advise sir Frank!! my notebook says tensorflow has no attributes named global_variables_initializer

[@chinavines5133]

I really like the advise sir Frank!!

[@syedmuhammadali2083]

I am getting error in the final project task of tumor although I am following the same code as instructed. Found array with 0 sample(s) (shape=(0, 4)) while a minimum of 1 is required by StandardScaler.

[@Kirchert919]

What version of tensorflow is he using ?

[@yellowstone4087]

I am not able to install tensorflow using pip

[@marvin4519]

Am getting an error trying to add the input layer and the bias (hidden_layer=input_layer + input_bias) Error:dimensions must be equal!!

[@ElimsEra]

Interesting. Easy to understand. 25 min in. Thank u

[@shinys5261]

Good effort...thanks

[@MrAnperm]

First 20 mins gave an excellent summary

[@bogulans2897]

From version 2.0 there is no more global variables with helper methods, so first part wont work properly

[@michaelsalmon3450]

Would be good to update the parts specific to tensorflow v1 to v2. Or maybe instead of redoing the video have v2 code versions for the appropriate examples

[@johnjohnson393]

Easy to understand the machine learning - deep learning for👋 freeeeeeeeee 👌

[@abeaumont10]

Thanks for this video!

[@hmsvigle]

Sir, Your presentation & explanation was very good. Though with a visual appearance with pointer (atleast mouse pointer) pointing to the portion of diagram/part you are explaining, would have been very helpful. Else it felt like we are looking blank to the slides & search or visualize mentally what you ment by it. Thank you

[@emilmuller1746]

Thank you for this very good video :)

[@satheeshkrishnankannaiyan5577]

Thanks for this video. Much appreciated. Just wondering whether RNN is the only option in Neural Networks for stock prediction. Please advice me on this point.

[@jcarmen9734]

Great!

[@gselan72]

is a Perceptron a Decepticon or an Autobot

[@ianyang8799]

I think you made a mistake when you use keras to solve the house-votes-84 dataset problems. your code: all_features = voting_data[feature_names].values , at time 1:42:37 but the feature_names already contain the 'party' column and you just use the 'party' column as the label below

[@jackbisson9226]

Hi Frank, thank you for sharing this great content.

[@judithchristman4707]

Awesome video!! Taken in a lot... huge thanks for this ... Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

[@beautifulanimals209]

Great! can you sir includes topics which are under mentioned??Responsibilities! Understanding business objectives and developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlines are metAnalyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionRequirements! Machine Learning Engineer or similar roleProficiency with a deep learning framework such as TensorFlow or KerasProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasDeep knowledge of math, probability, statistics and algorithmsExpertise in visualizing and manipulating big datasetsProficiency with OpenCV

[@swathinr4286]

Any way i can get the files without taking up the course

[@021bethineedilakshmideepak4]

how can u retrieve the files?

[@toddmoore112]

Hi Swathi. Wat u want . Ask me I will give u

[@JaggiUnscripted]

Please upload more videos

[@dillonvanessa4491]

Awesome video!! Taken in a lot... huge thanks for this ... I really like the advise sir Frank!! Good effort...thanks I really like the advise sir Frank!! Good effort...thanks I really like the advise sir Frank!!

[@Skandawin78]

Too good

[@pratulranjan2794]

watch at 01:32:08 :D

[@sundriedarizona6992]

I love the video and just starting my journey with Deep Learning. However, I have ran into a problem and it is making it very difficult for me to follow along with code. It seems Tensorflow has updated it's version from the version you are using in the video. First time working with Tensorflow and trying to understand the changes and how to implement them all to stop errors is a little challenging. Do you have an updated version or an explanation of the changes that need to be made in the code? But I do love your teaching style and your very clear and concise on topics.

[@sonhiya]

Can I use python 2?

[@gemini9002]

He said it's only available in 3.5 and above

[@sonhiya]

@@gemini9002 okay

[@giribabujakkala9140]

Is this good for bigginers

[@gemini9002]

No😂

[@JeordieEH]

I can't explain what it is, but udemy video's are some of the worst commercials on youtube. They are the only ones that make me seek out udemy just so I can express my annoyance and hatred for their bullshit commercials. You can go from zero experience coding to building iOS app's. Uh, yeah, great way to fleece dumb people. Thanks for not providing high achievements, just quick results for people who will likely give up easily anyway.

[@abracondapholosim]

Jeordie White finally! Someone said it

[@Goldname1]

upvote because he doesn't have an indian accent

[@iamsyedomair]

bloody racists

[@iamsyedomair]

but i do acknowledge the fact that he is a good teacher