Learning Neural Networks with Tensorflow
Where to Watch Learning Neural Networks with Tensorflow
25
Understanding What Your Network Learned -Visualizing Activations
2017-11-27
Neural networks sometimes learn something you don't expect. Looking at activations can be an important tool to verify your network is learning something that makes sense.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 25 Now
24
Batch Normalization
2017-11-27
Each layer learns to respond to the output of the previous layer during backpropagation. A trick to speed up this process AND get better results is called batch normalization.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 24 Now
23
Building a Convolutional Neural Network
2017-11-27
We loaded our data and preprocessed our images. Now it's time to see how well our well known approach of convolutional layers works on this dataset.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 23 Now
22
Building an Input Pipeline in TensorFlow
2017-11-27
As there are a lot of images, loading them all into our memory would require a lot from our computer space. Instead we will build a pipeline in TensorFlow that reads the images when we need them.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 22 Now
21
Large-Scale CelebFaces Attributes (CelebA) Dataset
2017-11-27
To analyze the faces of celebrities, we need to have a lot of data. The CelebA dataset contains more than 200, 000 images of celebrities.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 21 Now
20
Optimization and Loss Functions
2017-11-27
We currently used the mean squared error loss function and normal gradient descent. The softmax cross entropy function performs better for classification functions.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 20 Now
19
From Activations to Probabilities - the Softmax Function
2017-11-27
Knowing the output activations of a neural network is great, but often you want to see a "probability" per output class. To do this we introduce the softmax function.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 19 Now
17
Convolution and Pooling Layers
2017-11-27
If you move an image, it's still easy for humans to recognize the image. With our dense layers, the network has to "learn" all positions a character can be at.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 17 Now
16
Dense Layer Approach
2017-11-27
We will apply what we learned in the previous section on these images and build a deep Neural Network with fully connected layers. We will also write an evaluation function that determines the accuracy of a Neural Network.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 16 Now
15
Images of Written Digits
2017-11-27
We want to download a dataset with images of written digits and save these digits to our datasets folder. We will visualize them with Matplotlib after reshaping them.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 15 Now
14
The Importance of Hyperparameters
2017-11-27
There are several better methods to estimate these hyperparameters, and we will try grid-search over the learning rate parameter to improve our performance.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 14 Now
13
Understanding the Activation Function
2017-11-27
In this video, we will explore other activation functions, and will look at how well the network performs the ReLU function which is used as activation function.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 13 Now
12
Preprocessing Data
2017-11-27
Learn how preprocessing data can give big performance boosts to Neural Networks.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 12 Now
11
First Approach - Easy Layer Building
2017-11-27
Replicate the Neural Network made in the previous section to see how well this works.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 11 Now
10
Ground State Energies of 16,242 Molecules
2017-11-27
Download the data from Kaggle and see what is in the dataset.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 10 Now
9
Overfitting - Why We Split Our Train and Test Data
2017-11-27
Although during training it may look as if our neural network learned to classify everything, it's possible it does not generalize to the whole dataset. To see how well our network performs we have to split our data into training and test set.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 9 Now
8
Backpropagation
2017-11-27
Determine the error that the network made, and how we can optimize the network to reduce this error.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 8 Now
7
The Human Brain and How to Formalize It
2017-11-27
Look at the human brain for inspiration on how computers can learn something and learn how to manually design a Neural Network.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 7 Now
6
The Iris Dataset
2017-11-27
Get the Iris dataset and inspect it. Find insights in how to recognize flowers.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 6 Now
5
Understanding TensorFlow
2017-11-27
Look at the TensorFlow software, and understand what its definition is. The author will build some graphs, and will explain what they do and how to evaluate them in a session.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 5 Now
4
Our Code, in a Jupyter Notebook
2017-11-27
Learn how to download the source code for this course and build the Docker image. The author will show what commands to enter, and how viewers can open the Jupyter Notebook.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 4 Now
3
Why We Use Docker and Installation Instructions
2017-11-27
In this course, the viewers only need to install one thing, and that is Docker. With this tool, we put a "virtual operating system" on the viewer's computer which has all dependencies that they need for this course.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 3 Now
2
Solving Public Datasets
2017-11-27
People often discuss whether being good at deep learning requires a lot of knowledge like a scientist, or requires a lot of practice like an artist. You need a combination of both to build state of the art models.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 2 Now
1
The Course Overview
2017-11-27
This video provides an overview of the entire course.
Watch Learning Neural Networks with Tensorflow Season 1 Episode 1 Now
Learning Neural Networks with Tensorflow is a series categorized as a new series. Spanning 1 seasons with a total of 24 episodes, the show debuted on 2017. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
How to Watch Learning Neural Networks with Tensorflow
How can I watch Learning Neural Networks with Tensorflow online? Learning Neural Networks with Tensorflow is available on Packt Publishing with seasons and full episodes. You can also watch Learning Neural Networks with Tensorflow on demand at Amazon online.
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Packt Publishing
Cast
Rol, Meertens
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