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Title: GitHub - braindotai/Deep-Learning-Scratch-Arena: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch. · GitHub

Open Graph Title: GitHub - braindotai/Deep-Learning-Scratch-Arena: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch.

X Title: GitHub - braindotai/Deep-Learning-Scratch-Arena: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch.

Description: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch. - braindotai/Deep-Learning-Scratch-Arena

Open Graph Description: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications...

X Description: Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications...

Opengraph URL: https://github.com/braindotai/Deep-Learning-Scratch-Arena

X: @github

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Domain: github.com

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og:image:altImplementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications...
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244 Commitshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/commits/master/
https://github.com/braindotai/Deep-Learning-Scratch-Arena/commits/master/
01. Intro To Deep Learninghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/01.%20Intro%20To%20Deep%20Learning
01. Intro To Deep Learninghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/01.%20Intro%20To%20Deep%20Learning
02. Activation Functionshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/02.%20Activation%20Functions
02. Activation Functionshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/02.%20Activation%20Functions
03. Gradient Descent Variantshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/03.%20Gradient%20Descent%20Variants
03. Gradient Descent Variantshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/03.%20Gradient%20Descent%20Variants
04. Learning Rate Decay Methodshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/04.%20Learning%20Rate%20Decay%20Methods
04. Learning Rate Decay Methodshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/04.%20Learning%20Rate%20Decay%20Methods
05. Preventing Overfittinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/05.%20Preventing%20Overfitting
05. Preventing Overfittinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/05.%20Preventing%20Overfitting
06. Making Deep Learing Learn Fasterhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/06.%20Making%20Deep%20Learing%20Learn%20Faster
06. Making Deep Learing Learn Fasterhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/06.%20Making%20Deep%20Learing%20Learn%20Faster
07. Recurrent Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/07.%20Recurrent%20Neural%20Networks
07. Recurrent Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/07.%20Recurrent%20Neural%20Networks
08. Convolutional Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/08.%20Convolutional%20Neural%20Networks
08. Convolutional Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/08.%20Convolutional%20Neural%20Networks
09. Generative Modelshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/09.%20Generative%20Models
09. Generative Modelshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/09.%20Generative%20Models
10. Computer Visionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/10.%20Computer%20Vision
10. Computer Visionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/10.%20Computer%20Vision
11. Applications of Computer Visionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/11.%20Applications%20of%20Computer%20Vision
11. Applications of Computer Visionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/tree/master/11.%20Applications%20of%20Computer%20Vision
.gitignorehttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/.gitignore
.gitignorehttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/.gitignore
README.mdhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/README.md
README.mdhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/README.md
READMEhttps://github.com/braindotai/Deep-Learning-Scratch-Arena
https://github.com/braindotai/Deep-Learning-Scratch-Arena#welcome-to-deep-learning-scratch-arena
https://github.com/braindotai/Deep-Learning-Scratch-Arena#what-is-deep-learning-scratch-arena
https://github.com/braindotai/Deep-Learning-Scratch-Arena#why-scratch-implemantation
https://youtu.be/l9RWTMNnvi4?t=130https://youtu.be/l9RWTMNnvi4?t=130
https://github.com/braindotai/Deep-Learning-Scratch-Arena#list-of-topics-implemented-from-scratch
https://github.com/braindotai/Deep-Learning-Scratch-Arena#intro-to-deep-learning
Understanding Percepron - Linear Regressionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/01.%20Intro%20To%20Deep%20Learning/01.%20Linear%20Regression
Binary Classification - Logistic Regressionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/01.%20Intro%20To%20Deep%20Learning/02.%20Logistic%20Regression
Multiclass Classification - Softmax Regressionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/01.%20Intro%20To%20Deep%20Learning/03.%20Multiclass%20Softmax%20Classification
The Modern Deep Learning - Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/01.%20Intro%20To%20Deep%20Learning/04.%20Multilayer%20Neural%20Networks
https://github.com/braindotai/Deep-Learning-Scratch-Arena#activation-functions
Sigmoidhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/01.%20Sigmoid
Tanhhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/02.%20Tanh
ArcTanhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/03.%20ArcTan
Softsignhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/04.%20Softsign
ISRUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/05.%20ISRU
ISRLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/06.%20ISRL
PLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/07.%20PLU
ReLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/08.%20ReLu
SoftPlushttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/09.%20SoftPlus
Leaky ReLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/10.%20Leaky%20ReLU
PReLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/11.%20PReLU
RReLUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/12.%20RReLU
ELUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/13.%20ELU
SELUhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/14.%20SELU
Swishhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/15.%20Swish
Bent Identityhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/02.%20Activation%20Functions/16.%20Bent%20Identity
https://github.com/braindotai/Deep-Learning-Scratch-Arena#gradient-descent-variants
Momentum Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/01.%20Momentum
Nesterov Accelerated Gradient Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/02.%20Nesterov%20Accelerated%20Gradient
AdaGrad Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/03.%20AdaGrad
AdaDelta Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/04.%20AdaDelta
RMSProp Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/05.%20RMSProp
Adam Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/06.%20Adam
AMSGrad Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/07.%20AMSGrad
Nadam Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/08.%20Nadam
AdaMax Optimizerhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/03.%20Gradient%20Descent%20Variants/09.%20AdaMax
https://github.com/braindotai/Deep-Learning-Scratch-Arena#learning-rate-decay-methods
Time Decayhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/04.%20Learning%20Rate%20Decay%20Methods/01.%20Time%20Decay%20-%20MXNet.ipynb
Step Decayhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/04.%20Learning%20Rate%20Decay%20Methods/02.%20Step%20Decay%20-%20MXNet.ipynb
Exponential Decayhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/04.%20Learning%20Rate%20Decay%20Methods/03.%20Exponential%20Decay%20-%20MXNet.ipynb
Cyclic Decayhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/04.%20Learning%20Rate%20Decay%20Methods/04.%20Cyclic%20Decay%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#preventing-overfitting
L1 Regularizationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/05.%20Preventing%20Overfitting/01.%20Regularization%20-%20MXNet.ipynb
L2 Regularizationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/05.%20Preventing%20Overfitting/01.%20Regularization%20-%20MXNet.ipynb
Dropouthttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/05.%20Preventing%20Overfitting/02.%20Dropout%20-%20MXNet.ipynb
DropConnecthttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/05.%20Preventing%20Overfitting/03.%20DropConnect%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#making-deep-learning-learn-faster
Batch Normalizationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/06.%20Making%20Deep%20Learing%20Learn%20Faster/01.%20Batch%20Normalization%20-%20MXNet.ipynb
Layer Normalizationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/06.%20Making%20Deep%20Learing%20Learn%20Faster/02.%20Layer%20Normalization%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#recurrent-neural-networks
Recurrent Neural Networks (RNN)https://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/01.%20Recurrent%20Neural%20Networks%20-%20MXNet.ipynb
Long Short Term Memory Cell (LSTM)https://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/02.%20Long%20Short%20Term%20Memory%20-%20MXNet.ipynb
Gated Recurrent Unit (GRU)https://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/03.%20Gated%20Recurrent%20Unit%20-%20MXNet.ipynb
Sequence to Sequencehttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/04.%20Sequence%20to%20Sequence%20-%20MXNet.ipynb
Multilayer Recurrent Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/05.%20Multilayer%20Recurrent%20Neural%20Networks%20MXNet.ipynb%20-%20MXNet.ipynb
Bidirectional Recurrent Neural Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/07.%20Recurrent%20Neural%20Networks/06.%20Bidirectional%20Recurrent%20Neural%20Networks%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#convolutional-neural-networks
Understanding Convolutionalhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/01.%20Understanding%20Convolutional%20-%20MXNet.ipynb
Convolution with Paddinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/03.%20Convolution%20with%20Padding%20-%20MXNet.ipynb
Convolution with Strideshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/02.%20Convolution%20with%20Strides%20-%20MXNet.ipynb
Max Poolinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/04.%20Max%20Pooling%20-%20MXNet.ipynb
Average Poolinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/05.%20Average%20Pooling%20-%20MXNet.ipynb
Understanding Deconvolutionhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/06.%20Understanding%20Deconvolution%20-%20MXNet.ipynb
Deconvolution with Strideshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/07.%20Deconvolution%20with%20Strides%20-%20MXNet.ipynb
Deconvolution with Paddinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/08.%20Convolutional%20Neural%20Networks/08.%20Deconvolution%20with%20Padding%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#generative-models
Autoencoderhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/01.%20Autoencoder%20MXNet.ipynb%20-%20MXNet.ipynb
Denoising Autoencoderhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/02.%20Denoising%20Autoencoder%20-%20MXNet.ipynb
Sparse Autoencoderhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/03.%20Sparse%20Autoencoder%20-%20MXNet.ipynb
Variational Autoencoderhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/04.%20Variational%20Autoencoder%20-%20MXNet.ipynb
Generative Adversarial Networkshttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/05.%20Generative%20Adversarial%20Networks%20-%20MXNet.ipynb
Deep Convolutional GANhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/06.%20Deep%20Convolutional%20GAN%20-%20MXNet.ipynb
Conditional GANhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/07.%20Conditional%20GAN%20-%20MXNet.ipynb
AC GANhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/08.%20AC%20GAN%20-%20MXNet.ipynb
LS GANhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/09.%20LS%20GAN%20-%20MXNet.ipynb
Info GANhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/09.%20Generative%20Models/10.%20Info%20GAN%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#computer-vision
LeNethttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/01.%20LeNet%20-%20MXNet.ipynb
AlexNethttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/02.%20AlexNet%20-%20MXNet.ipynb
VGGhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/03.%20VGG%20Net%20-%20MXNet.ipynb
Network in Networkhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/04.%20Network%20in%20Network%20-%20MXNet.ipynb
Inception Networkhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/05.%20Inception%20Network%20-%20MXNet.ipynb
ResNethttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/06.%20Residual%20Network%20-%20MXNet.ipynb
DenseNethttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/07.%20DenseNet%20-%20MXNet.ipynb
Data Augmentationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/10.%20Computer%20Vision/08.%20Data%20Augmentation%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#applications-of-computer-vision
Image Classificationhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/11.%20Applications%20of%20Computer%20Vision/01.%20Image%20Classification%20-%20MXNet.ipynb
Transfer Learninghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/11.%20Applications%20of%20Computer%20Vision/02.%20Transfer%20Learning%20-%20MXNet.ipynb
Image Denoisinghttps://github.com/braindotai/Deep-Learning-Scratch-Arena/blob/master/11.%20Applications%20of%20Computer%20Vision/03.%20Image%20Denoising%20-%20MXNet.ipynb
https://github.com/braindotai/Deep-Learning-Scratch-Arena#natural-language-processing
https://github.com/braindotai/Deep-Learning-Scratch-Arena#applications-of-natural-language-processing
https://github.com/braindotai/Deep-Learning-Scratch-Arena#how-to-run-provided-notebooks
https://colab.research.google.comhttps://colab.research.google.com
https://github.com/braindotai/Deep-Learning-Scratch-Arena#what-are-some-good-resources-to-learn-deep-learning
Deep Learning For Beginners by Andrew Nghttps://www.youtube.com/watch?v=CS4cs9xVecg&list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0
Deep Learning For Intermediates by Andrew Nghttps://www.youtube.com/watch?v=1waHlpKiNyY&list=PLkDaE6sCZn6Hn0vK8co82zjQtt3T2Nkqc
Convolutional Neural Networks by Andrew Nghttps://www.youtube.com/watch?v=ArPaAX_PhIs&list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF
Recurrent Neural Networks by Andrew Nghttps://www.youtube.com/watch?v=efWlOCE_6HY&list=PL1w8k37X_6L_s4ncq-swTBvKDWnRSrinI&index=2
An Outstanding course for Linear Algebra by Prof W. Gilbert Strangehttps://www.youtube.com/watch?v=ZK3O402wf1c&list=PLE7DDD91010BC51F8
An Another Outstanding Course on Linear Algera By 3Blue1Brownhttps://www.youtube.com/watch?v=kjBOesZCoqc&list=PL0-GT3co4r2y2YErbmuJw2L5tW4Ew2O5B
Course on Calculus by 3Blue1Brownhttps://www.youtube.com/watch?v=WUvTyaaNkzM&list=PL0-GT3co4r2wlh6UHTUeQsrf3mlS2lk6x
A Great Course on Deep Learning by MIThttps://www.youtube.com/watch?v=5v1JnYv_yWs&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=1
Deep Learning Course by Stanfordhttps://www.youtube.com/watch?v=PySo_6S4ZAg&list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
An Awesome Book on Deep Learninghttps://www.d2l.ai/
Another Great Book on Deep Learning by Ian Goodfellowhttps://www.deeplearningbook.org/
https://github.com/braindotai/Deep-Learning-Scratch-Arena#todo
https://github.com/braindotai/Deep-Learning-Scratch-Arena#author
https://github.com/braindotai/Deep-Learning-Scratch-Arena#rishik-mourya
machine-learning https://github.com/topics/machine-learning
deep-learning https://github.com/topics/deep-learning
mxnet https://github.com/topics/mxnet
jupyter-notebook https://github.com/topics/jupyter-notebook
neural-networks https://github.com/topics/neural-networks
gluon https://github.com/topics/gluon
scratch-implementation https://github.com/topics/scratch-implementation
Readme https://github.com/braindotai/Deep-Learning-Scratch-Arena#readme-ov-file
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Activityhttps://github.com/braindotai/Deep-Learning-Scratch-Arena/activity
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Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fbraindotai%2FDeep-Learning-Scratch-Arena&report=braindotai+%28user%29
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Jupyter Notebook 100.0% https://github.com/braindotai/Deep-Learning-Scratch-Arena/search?l=jupyter-notebook
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