Deep Learning Master Class

IBM Signup - https://ibm.biz/BdqcDV

IBM Developer

https://slides.com/upkar/ibm-jupyter

Lavanya Shukla
> @lavanyaai
Upkar Lidder
> @lidderupk

Some Links

@lidderupk
IBM Developer

Previous Sessions

1. Deep Learning Master Class I - Introduction - https://www.crowdcast.io/e/deep-learning-master

2. Deep Learning Master Class II - Computer Vision - https://www.crowdcast.io/e/deep-learning-master-2

3. Deep Learning Master Class III - Model Performance, Quantization, & Hyperparameter Search - https://www.crowdcast.io/e/dl-master-class-iii--

Notebooks

1. RNN - https://github.com/lavanyashukla/neural_networks/blob/master/Recurrent_Neural_Networks.ipynb

2. Intro to keras - https://github.com/lavanyashukla/neural_networks/blob/master/IBM%20-%20Intro%20to%20Keras%20with%20Weights%20%26%20Biases.ipynb

3. Emotion classifier - https://github.com/lavanyashukla/neural_networks/blob/master/IBM%20-%20Emotion%20Classifier.ipynb

4. Intro to CNN -https://github.com/lavanyashukla/neural_networks/blob/master/Intro_to_Convolutional_Neural_Networks_with_W%26B.ipynb

Prerequisites

@lidderupk
IBM Developer

1. Create IBM Cloud Account using THIS URL

3. If you already have an account, use the above URL to sign into your IBM Cloud account.

2. Check your email and activate your account. Once activated, log back into your IBM Cloud account using the link above.

https://ibm.biz/BdqcDV

Steps

@lidderupk
IBM Developer
  1. Sign up / Log into IBM Cloud - https://ibm.biz/BdqcDV
  2. Create a Watson Studio Service
  3. Create a new project
  4. Import the sample notebook to your project
  5. Over to our main speaker!

Step 1 - sign up/ log into IBM Cloud 

@lidderupk
IBM Developer

https://ibm.biz/BdqcDV

Step 2 - locate Watson Studio in the catalog 

@lidderupk
IBM Developer

Step 3 - create new watson studio service 

@lidderupk
IBM Developer
@lidderupk
IBM Developer

Step 4 - launch Watson Studio 

@lidderupk
IBM Developer

Step 5 - create new project and pick empty template 

@lidderupk
IBM Developer

Step 6a - name your project and create storage service 

@lidderupk
IBM Developer

Step 6b - add storage opens a new page 

@lidderupk
IBM Developer

Step 6c - you will be taken back to the first page after storage 

@lidderupk
IBM Developer

Step 7 - add notebook feature to your project 

@lidderupk
IBM Developer

Step 8 - import notebook, get link from github

https://github.com/lavanyashukla/neural_networks

@lidderupk
IBM Developer

Step 9 - Let's get started! 

@lidderupk
IBM Developer

Some links for the workshop

W&B Slack Community

http://bit.ly/wandb-forum

 

IBM Cloud account

http://bit.ly/deep-learning-1

 

Jupyter Notebooks

TBD

 

 

 

 

@lidderupk
IBM Developer

IBM Model Asset Exchange

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