TensorFlow Tutorial 2022
I'll teach a ton about how to use TensorFlow and I'll answer all your questions live. I'll cover all of the following and much more :
❇️ Working with Tensors
❇️ Google Colab
❇️ Downloading / Cleaning Data
❇️ Boxplots, Histograms & Correlation Matrix
❇️ Neural Network Regressions
❇️ Random Data
❇️ Normalizing Data
❇️ One Hot Encoding
❇️ Separate Features & Labels
❇️ Separate Training & Testing Data
❇️ Building Models
❇️ Compiling, Optimizing, Evaluating
❇️ Activation (What data is important)
❇️ Fitting, Epochs & More
🖥️ Code is Here : https://github.com/derekbanas/tensorflow
📆 Next Video: May the 18th at Noon EST / 4PM UTC
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Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
NumPy in One Video : https://youtu.be/8Y0qQEh7dJg
Pandas in One Video : https://youtu.be/PcvsOaixUh8
Matplotlib in One Video : https://youtu.be/wB9C0Mz9gSo
Seaborn in One Video : https://youtu.be/6GUZXDef2U0
Plotly in One Video : https://youtu.be/GGL6U0k8WYA
#DeepLearning #Tensorflow #MachineLearning
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