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@SleepyBaseball-ts7se7 ай бұрын
Vote for Machine Learning Part 2 👉👉👉
@Lovish2426Ай бұрын
Hlo bro
@nafisfida902414 күн бұрын
00:02:20 - What is Deep Learning? 00:12:53 - What is Neuron & Neural Networks, Types of Deep Learning Networks? 00:20:45 - What is Single Layer Perceptron & How to use it? 00:30:24 - Perceptron Work 00:41:01 - What is Multilayer Perceptron and Notation (ANN) & How to use it? 00:51:45 - Forward Propagation and Back propagation 01:15:35-Activation Functions for Neural Networks 01:27:51-What is Loss Functions & How to use it? 02:26:52 - Identify Overfitting in Deep Learning (Early Stopping,Regularization) 02:50:28 - What is Batch Normalization & How to use it? 02:59:11-What is Dropout Layer & How to use it? 03:14:05 - Vanishing Gradient Problem 03:22:40 - Hyperparameter Tuning 03:34:31 Convolutional Neural Network 03:45:12 - What is Convolutional, Pooling, Flattening 04:02:51 - Convolutional Neural Network (Practical)
@nehakumarinehakumari37607 ай бұрын
Please part2 ML It's very need.
@titanemperor91322 ай бұрын
00:02 Deep learning teaches computers to learn and recognize patterns. 02:42 Deep learning is a subpart of machine learning 06:52 Introduction to Neural Networks in Deep Learning 08:45 Deep learning is used in real-world applications 12:30 Understanding the working of neurons and neural networks 14:19 Understanding the data collection process inside cells. 18:21 Understanding single layer perceptron and multi-layer neural networks 19:56 Introduction to neural networks 23:52 Weightage in managing data and output 25:40 Understanding activation functions in deep learning 29:18 Single Layer Perceptron is limited for complex data handling 31:06 Introduction to Machine Learning Algorithms 34:15 Data is separated into input and output for model testing. 35:51 Building and evaluating a Deep Learning model. 39:02 Introduction to Single-Layer Perceptron 40:34 Introduction to Multilayer Perceptron 43:46 Understanding weightage and bias computation in neural networks 45:15 Explaining the structure of neural networks 48:32 Understanding the concept of multilayer neural networks 50:11 Understanding the activation functions in Multi Layer Perceptron 53:23 Understanding weightage and bias in neural networks 55:02 Explanation of hidden layers and activation functions 58:13 Gradient descent minimizes loss 59:55 Backward propagation and weightage update 1:03:09 Understanding different loss functions and back propagation in deep learning 1:04:44 Explaining Mean Square Loss and Updating Parameters 1:08:22 Importance of learning rate in Deep Learning 1:10:03 Introduction to Single Layer Perceptron 1:13:06 Calculating values using equations in Deep Learning 1:15:00 Backward propagation and gradient descent 1:18:18 Understanding activation functions and their role in non-linear data 1:19:56 The activation function 'linear' is discussed. 1:23:19 Different activation functions in deep learning 1:25:01 Understanding neural network outputs 1:28:22 Understanding loss function basics in deep learning 1:30:15 The algorithm and parameters of neural networks 1:33:38 Understanding the difference between loss and cost functions 1:35:17 Understanding various loss functions in neural networks 1:38:58 Understanding Mean Squared Error in Deep Learning 1:40:36 Understanding modulus and its impact on value 1:43:36 Explanation of Huber Loss in Deep Learning 1:45:12 Log loss formula usage for binary classification 1:48:12 Explanation of one hot encoding 1:49:43 Understanding one-hot encoding and label encoding 1:53:07 Understanding global and local minima in deep learning 1:54:44 Understanding the importance of learning rates in deep learning optimization 1:58:03 Understanding different types of optimizers in Deep Learning 1:59:46 Practical application of multi layer perceptron in analyzing bank customer data 2:03:05 Data Scaling Process Overview 2:04:42 Importance of data scaling in Deep Learning 2:07:45 Setting up the neural network model with activation functions and optimizers 2:09:20 Splitting data for training and testing 2:12:32 Processing and analyzing data in different formats 2:13:51 Performing PRD and checking model accuracy 2:16:55 Analyzing model performance on new data 2:18:28 Training and evaluating the deep learning model. 2:21:42 Optimizing Neural Network for Model Accuracy 2:23:13 Choose the best optimizer and tune hyperparameters for improved model accuracy. 2:26:31 Understanding Hyperparameter Tuning and Overfitting in Neural Networks 2:28:13 Understanding model accuracy and overfitting 2:31:28 Understanding overfitting in Deep Learning 2:33:02 Building and evaluating a deep learning model using TensorFlow 2:35:59 Identifying and addressing overfitting in model training for improved accuracy 2:37:30 Concept of Early Stopping in Deep Learning 2:40:26 Understanding the importance of accuracy in deep learning training and testing 2:41:56 Understanding the process of determining accuracy in training and testing 2:45:04 Understanding callbacks, early stopping, and regularization in deep learning models 2:46:43 Applying L2 regularization in deep learning 2:49:48 Importance of Hyper Parameter Tuning 2:51:47 Importance of proper normalization and activation functions in deep learning Crafted by Merlin AI.
@sapnakumari9327Ай бұрын
Thanks for hard work
@imranahmed-zh9ir7 ай бұрын
Machine learning Part 2 chahiye 😢 please please please aap upload kariyega agar thousand comments na bhi hue to . Thanks for providing informative videos. Thanks A lote.❤
@YouTubesdmkn7 ай бұрын
Learning from you is incredibly amazing. extremely beneficial to everyone.
@AliKhan-iw5jk2 ай бұрын
😮
@fartoon-kc6cp7 ай бұрын
Thank once again for your efforts to make young guys skill ful.Kindly make videos about tensorflow and keras ,make some projects using some dataset,How to get job n ML,DL.If you need any Subtitles services I will do it with less price.
@rockysp17 ай бұрын
Very Nice Course Sir Thanks WscubeTech Team
@alamshaikh43587 ай бұрын
Thank you to all your teams I'm waiting for machine learning part - 2.
@wscubetech7 ай бұрын
Coming soon!
@Ahmad_Khan_Alwazir-0067 ай бұрын
I am from Pakistan all team is very intelligent and I am watching your videos course and tutorial from 2023 This KZbin channel is change my life Inshallah
@RobertAlberto-o9k7 ай бұрын
Time pass krna band kr, ab purh b le... Kci nee poocha kahan se ho, khud hi bakwaas shru krdaitey ho
@RobertAlberto-o9k7 ай бұрын
@TOP_FACTZZ_ bhai Ahmed khan alwazir ko bool rha tha, ab kiyun beech me koodh parag
@Chad-uq5vp7 ай бұрын
Jab two chutiya aapas mai mil jaiye tu ye hota hai😂😂😂
@Paglet-ys3bm7 ай бұрын
But hum sab toh aapke liye kaafir hain😂😂😂😂
@user-noshees7 ай бұрын
bs dikhadi na oqat India walon ..ye he tumhari asliyat. Us Pakistani ne tareef kia kardi tm kud pare apni zalalt dikhane e sham shame m m indian
@MovieOk-p8q15 күн бұрын
Sir please make complete video on NEURAL NETWORK AND DEEP LEARNING. JAISA apne ml ka part 1 and part2 each and every topics kraye ho ❤🎉
@GeniusAqueeq5 ай бұрын
Very important video for beginners, those who are going to swim in Deep learning.
@saniaayoub54744 ай бұрын
Excellent explanation ❤❤❤
@user-gk9dc8ts9i7 ай бұрын
Yes Definitely Vote for Machine Learning Part 2...❤❤❤
@ValiyaRuen7 ай бұрын
I appreciate the effort you've put into creating these valuable resources. Your dedication to helping others learn coding, machine learning, and deep learning is truly inspiring. Keep up the fantastic work!❤
@MuhammadSaqib-f6v17 күн бұрын
Part 2 very important plz sir From Pakistan
@NikhilSahu-v3x7 ай бұрын
I have a request for team ws cube tech please provide digital marketing learning sources with practical knowledge
@abhaysinghvideocreation54702 ай бұрын
Very well explanations and all steps of explanation are connecting dots..
@fartoon-kc6cp7 ай бұрын
Thank you 🎉
@bishal07377 ай бұрын
Please make the video on the topic "sklearn python library" 😊
@MovieOk-p8q18 күн бұрын
Sir please make complete deep learning. Jaise ml ki video hai. And please make video on computer vision ❤
@pan_dat2 ай бұрын
Please provide part 2 for machine learning
@naren48224 ай бұрын
Pls make Part 2 soon 😊
@rubalarora37886 ай бұрын
Thanks a lot for these videos. Each and every topic is well explained, highly appreciated!! Kindly upload part2.
@mofijmallick55727 ай бұрын
I liked first 😂❤ Thank you so much for this topic ❤
@user-hacktheworld5 ай бұрын
Deep learning part 2 ( Advanced Deep Learning )
@MovieOk-p8qАй бұрын
Sir please start Reinforcemet Learning playlist Including Q Learning and Bellman equation
@Channel_Spotlight7 ай бұрын
Thanks 💯🔥
@MovieOk-p8q5 ай бұрын
Mam or sir ye complete video hai na deep learning ke liya.❤
@HustleWithShubham017 ай бұрын
Yes for sure please bring part2
@ravishankarsingh90157 ай бұрын
It's not complete video...plzz upload deep learning part-2
@only4umurree7 ай бұрын
Thank you
@hdrrishu7 ай бұрын
I have a request Team WS cube tech please make a video on full course of Tabeau for Data analyst
@haseebzahid74387 ай бұрын
Hi please bring a course on chat bot ur courses are very helpful and full of information and knowledgeable. Stay blessed team ws cube tech
@paulntalo14253 ай бұрын
Great insights and well prepared and presented knowledge. Do you have English only videos?
@Hajramurtaza-i7g5 ай бұрын
Excellent work
@Yoriichiedits7574 ай бұрын
@wscubetech as I mention in your previous video plz provide dataset that you use in your video it will be more helpful for learners thank you!
@junaiddooast74354 ай бұрын
kindly provide these slides also . this will be quite helpful and time saving for us
@saqlain09027 ай бұрын
please bring machine Learning part 2
@ashwinikumar135 ай бұрын
Great, I was looking for
@saniaayoub54744 ай бұрын
Kindly image base dataset pr all ml algorithm and techniques apply kr k upload kry
@shortswithVi7 ай бұрын
thank you so much for this beautifull deep learning course after machine learning i m lookiing for a deep learning course and you guys did it thank so much for this course @wscubetech bus sir iske baad aap GenAI ka full course le aaiye aap sabhi ki asim krapa hogi
@romsea97217 ай бұрын
Thank you so much sir...🎉🎉🎉
@SahilRaj-qs6vt7 ай бұрын
thankyou for your help
@MuhammadSaqib-f6v21 күн бұрын
Very nice
@bhavanadhaker35973 ай бұрын
😢Sir your lecture can be more interesting by introducing Little bit jokes just like your NLP lecture. It was learning with enjoying🎉
@saney43857 ай бұрын
I am very excited 🥰🥰
@swarnabhamajumder95613 ай бұрын
Deep learning also part 2 please
@Death-hack-trust7 ай бұрын
😇😇😇 thanks for sharing 😊
@rkletsgo57767 ай бұрын
Vote for machine learning part 2❤❤
@KamleshKumawat-y1n3 ай бұрын
Sir provide machine learning part 3
@MUsman-1977 ай бұрын
Excellent content! Need more ❤❤❤
@ranbirsingh29467 ай бұрын
Thanks for the informative video
@zohaibzabi41072 ай бұрын
Please machine learning part 2
@aibclogic5 ай бұрын
Video for making video on "how to make ai chatbot development" ❤
@this_is_the_baat5 ай бұрын
great video keep it up
@TalhaAli-u6s7 ай бұрын
Dear team ham sab Kee aik request he apse, takreeban hum sab ko collage university me Andrew ng style me paraya jata he to please Jis tarah Andrew karwata he please ap b Andrew jese slides Kee Tarah karwao
@NikkhilDehal2 ай бұрын
nice Sir
@arnavsingh370715 күн бұрын
please upload deep learning part-2
@varunradheycreations34723 ай бұрын
Best free resources always available here ❤ .
@user-hacktheworld5 ай бұрын
Reinforcement learning please
@Byte_Bandits7 ай бұрын
Very informative
@SAHILRAJ-b8u7 ай бұрын
thankyou😍☺
@aashishprajapati20237 ай бұрын
Want to part 2🙏
@oddpakistani4 ай бұрын
Love From Pakistan, good videos
@3python5 ай бұрын
part 2 please 😊
@muneebawais873321 күн бұрын
From where we can download your data set for perception work
@rockysp17 ай бұрын
Sir ML ka Second Part Kab Aane Wala Hai..?
@divyaanshuagrawal33832 ай бұрын
The differentiation in Gradient Descent is wrong. First of all, it involves Partial Differentiation. Moreover, The derivative would not have any term of higher power. It will have only Linear degree terms.
@MuneebAwais-i2c21 күн бұрын
Can someone pls explain me difference between activation function and backward propagation?
@memenow11637 ай бұрын
Thanks
@Jatinvip07597 ай бұрын
Machine learning part 2 please 😢
@wscubetech7 ай бұрын
Coming soon
@MovieOk-p8q7 ай бұрын
Mam machine learning ka part 2 kb ayega ❤❤❤❤ please launch quickly. Our exams come near
@MuhammadSaqib-f6v17 күн бұрын
Sir deep learning part 2 ????
@madhurikadam51504 ай бұрын
can you please share the ppt or note file for the better understanding and revision
@abhishekshuklavince81846 ай бұрын
Sir recurrent neural network ka video laiye
@canyourelate7 ай бұрын
thankyou
@CricTales786256 ай бұрын
we need machine learning part 2
@saniaayoub54744 ай бұрын
Image base dataset pr dl and ml apply kry please please please please
@salonichourishiya5938Ай бұрын
where is machine learning part 1 please provide
@AyushShahcricketaddicts7 ай бұрын
Please create video on Mojo programming language
@user-hacktheworld5 ай бұрын
Advanced deep learning part 2
@msb-we7lh7 ай бұрын
Yes we want part 2 ML
@mohdadnan7395Ай бұрын
sir, RNN is not there i have search for different videos but i am not understanding any thing please make a video on RNN
@RabeeHameedАй бұрын
vote for deep learning part2
@SporteeGamer3 ай бұрын
Can you kindly share your slides? Thanks
@Optoxic4837 ай бұрын
Waiting for Deep learning intermediate course 2024🥱🥱🥱
@Optoxic4837 ай бұрын
+full roadmap
@it_insights502 ай бұрын
Sir aap ye sab concept aur hub hu example aap great learning academy se laaye ho
@Sumit-ty3pf3 ай бұрын
Dataset bhi de diya kro yrr 😥😥😥
@jayavardhan87643 ай бұрын
Where can I get Datasets used in this video.
@shigritahir47487 ай бұрын
Machine learning prt 2
@reflexgaming66303 ай бұрын
Waiting for Deep Leaning part 2 😢
@ADVICETOPROCEED7 ай бұрын
❤❤❤❤❤❤❤❤
@this_is_the_baat5 ай бұрын
we need part 2 of ml
@aaronshubhamgupta7 ай бұрын
Vote for Machine learning - Part 2 ❤. Add more comment 💬
@puneetkhatriiiiiiii7 ай бұрын
Prerequisites for this video?
@AhmadShakeelX6 ай бұрын
Gradient descent formula seems to be different. Is this me only or its actually wrong?
@SagarKumar-vc7sw7 ай бұрын
Artificial intelligence course need mam
@cartoonrehan7 ай бұрын
Deep learning 2nd part please please please please please upload upload upload upload upload upload