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@@ -13,7 +13,7 @@ Use Keras if you need a deep learning library that:
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- Runs seamlessly on CPU and GPU.
-Read the documentation at [Keras.io](http://keras.io).
+Read the documentation at [Keras.io](https://keras.io).
Keras is compatible with: __Python 2.7-3.5__.
@@ -37,7 +37,7 @@ Keras is compatible with: __Python 2.7-3.5__.
## Getting started: 30 seconds to Keras
-The core data structure of Keras is a __model__, a way to organize layers. The simplest type of model is the [`Sequential`](http://keras.io/getting-started/sequential-model-guide) model, a linear stack of layers. For more complex architectures, you should use the [Keras functional API](http://keras.io/getting-started/functional-api-guide), which allows to build arbitrary graphs of layers.
+The core data structure of Keras is a __model__, a way to organize layers. The simplest type of model is the [`Sequential`](https://keras.io/getting-started/sequential-model-guide) model, a linear stack of layers. For more complex architectures, you should use the [Keras functional API](https://keras.io/getting-started/functional-api-guide), which allows to build arbitrary graphs of layers.
Here is the `Sequential` model:
@@ -101,8 +101,8 @@ Building a question answering system, an image classification model, a Neural Tu
For a more in-depth tutorial about Keras, you can check out:
-- [Getting started with the Sequential model](http://keras.io/getting-started/sequential-model-guide)
-- [Getting started with the functional API](http://keras.io/getting-started/functional-api-guide)
+- [Getting started with the Sequential model](https://keras.io/getting-started/sequential-model-guide)
+- [Getting started with the functional API](https://keras.io/getting-started/functional-api-guide)
In the [examples folder](https://github.com/fchollet/keras/tree/master/examples) of the repository, you will find more advanced models: question-answering with memory networks, text generation with stacked LSTMs, etc.
@@ -157,7 +157,7 @@ sudo python setup.py install
## Switching from TensorFlow to CNTK or Theano
-By default, Keras will use TensorFlow as its tensor manipulation library. [Follow these instructions](http://keras.io/backend/) to configure the Keras backend.
+By default, Keras will use TensorFlow as its tensor manipulation library. [Follow these instructions](https://keras.io/backend/) to configure the Keras backend.
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