Deep Learning

Neural Networks 101

What is Machine Learning?

Using statistical models to

  • Understand data
  • Make predictions given more data
  • Make future actions given those predictions



Binary Classification

Clustering Algorithms

Some ML Algorithms/Models


  • Logistic Regression
  • Linear Regression
  • Stochastic Gradient Descent
  • Support Vector Machines
  • K-Nearest Neighbors
  • Naive Bayes
  • Decision Trees/Forests
  • Neural Networks


  • t-SNE
  • K-means
  • Principal Component Analysis
  • Non-negative Matrix Factorization

What powers all of these?


What is a Neural Net?

It's like Neurons in the Body?

What's in a Hidden Layer?

What's a loss function?

How do we put this all together?

Input goes in

Output comes out

Backpropagation using gradient descent


Hidden layers, Activation functions, and Loss Functions, Oh my!

Hidden layers

  • Convolution layers
  • Linear layers
  • Pooling layers
  • Recurrent layers
  • Normalization layers
  • Other layers that just do some fancy math stuff

Activation Functions

  • ReLU
  • L1/L2 Functions
  • Sigmoid

Loss Functions

  • Mean Squared Error
  • Cross-Entropy Loss
  • Kullback-Leibler Divergence Loss
  • Many more



Style Transfer (Adversarial Networks)

Style Transfer (Adversarial Networks)

Style Transfer (Adversarial Networks)

Style Transfer (Adversarial Networks)

Recurrent Neural Nets (RNNs)


Recurrent Neural Nets (RNNs)


// Article paragraph

Naturalism and decision for the majority of Arab countries' capitalide was grounded
by the Irish language by [[John Clair]], [[An Imperial Japanese Revolt]], associated 
with Guangzham's sovereignty. His generals were the powerful ruler of the Portugal 
in the [[Protestant Immineners]], which could be said to be directly in Cantonese 
Communication, which followed a ceremony and set inspired prison, training. The 
emperor travelled back to [[Antioch, Perth, October 25|21]] to note, the Kingdom 
of Costa Rica, unsuccessful fashioned the [[Thrales]], [[Cynth's Dajoard]], known 
in western [[Scotland]], near Italy to the conquest of India with the conflict. 
Copyright was the succession of independence in the slop of Syrian influence that 
was a famous German movement based on a more popular servicious, non-doctrinal 
and sexual power post. Many governments recognize the military housing of the 
[[Civil Liberalization and Infantry Resolution 265 National Party in Hungary]], 
that is sympathetic to be to the [[Punjab Resolution]]
cfm/7754800786d17551963s89.htm Official economics Adjoint for the Nazism, Montgomery 
was swear to advance to the resources for those Socialism's rule, 
was starting to signing a major tripad of aid exile.]]

// Markdown example

{ { cite journal | id=Cerling Nonforest Department|format=Newlymeslated|none } }

'''See also''': [[List of ethical consent processing]]

== See also ==
*[[Iender dome of the ED]]

*[[French Writings]]
*[[Mount Agamul]]

== External links==
* [ Website of the World Festival. The labour of India-county defeats at the Ripper of California Road.]

==External links==
* [ Constitution of the Netherlands and Hispanic Competition for Bilabial and Commonwealth Industry (Republican Constitution of the Extent of the Netherlands)]

// XML Example

    <minor />
    <comment>Automated conversion</comment>
    <text xml:space="preserve">#REDIRECT [[Christianity]]</text>

Recurrent Neural Nets (RNNs)

LaTeX (Math Typing)

Recurrent Neural Nets (RNNs)

LaTeX (Math Typing)

Recurrent Neural Nets (RNNs)

Linux Source Code (in C)

 * Increment the size file of the new incorrect UI_FILTER group information
 * of the size generatively.
static int indicate_policy(void)
  int error;
  if (fd == MARN_EPT) {
     * The kernel blank will coeld it to userspace.
    if (ss->segment < mem_total)
      ret = 1;
    goto bail;
  segaddr = in_SB(in.addr);
  selector = seg / 16;
  setup_works = true;
  for (i = 0; i < blocks; i++) {
    seq = buf[i++];
    bpf = bd-> + i * search;
    if (fd) {
      current = blocked;
  rw->name = "Getjbbregs";
  regs->new = blocks[(BPF_STATS << info->historidac)] | PFMR_CLOBATHINC_SECONDS << 12;
  return segtable;

 * If this error is set, we will need anything right after that BSD.
static void action_new_function(struct s_stat_info *wb)
  unsigned long flags;
  int lel_idx_bit = e->edd, *sys & ~((unsigned long) *FIRST_COMPAT);
  buf[0] = 0xFFFFFFFF & (bit << 4);
  min(inc, slist->bytes);
  printk(KERN_WARNING "Memory allocated %02x/%02x, "
    "original MLL instead\n"),
    min(min(multi_run - s->len, max) * num_data_in),
    frame_pos, sz + first_seg);
  div_u64_w(val, inb_p);
  return disassemble(info->pending_bh);

static void num_serial_settings(struct tty_struct *tty)
  if (tty == tty)
  return 0;

static void do_command(struct seq_file *m, void *v)
  int column = 32 << (cmd[2] & 0x80);
  if (state)
    cmd = (int)(int_state ^ (in_8(&ch->ch_flags) & Cmd) ? 2 : 1);
    seq = 1;
  for (i = 0; i < 16; i++) {
    if (k & (1 << 1))
      pipe = (in_use & UMXTHREAD_UNCCA) +
        ((count & 0x00000000fffffff8) & 0x000000f) << 8;
    if (count == 0)
      sub(pid, ppc_md.kexec_handle, 0x20000000);
    pipe_set_bytes(i, 0);
  /* Free our user pages pointer to place camera if all dash */
  subsystem_info = &of_changes[PAGE_SIZE];
  rek_controls(offset, idx, &soffset);
  /* Now we want to deliberately put it to device */
  control_check_polarity(&context, val, 0);
  for (i = 0; i < COUNTER; i++)
    seq_puts(s, "policy ");

 *  Copyright (c) 2006-2010, Intel Mobile Communications.  All rights reserved.
 *   This program is free software; you can redistribute it and/or modify it
 * under the terms of the GNU General Public License version 2 as published by
 * the Free Software Foundation.
 *        This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  GNU General Public License for more details.
 *   You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software Foundation,
 *  Inc., 675 Mass Ave, Cambridge, MA 02139, USA.

#include <linux/kexec.h>
#include <linux/errno.h>
#include <linux/io.h>
#include <linux/platform_device.h>
#include <linux/multi.h>
#include <linux/ckevent.h>

#include <asm/io.h>
#include <asm/prom.h>
#include <asm/e820.h>
#include <asm/system_info.h>
#include <asm/setew.h>
#include <asm/pgproto.h>

#define REG_PG    vesa_slot_addr_pack
#define PFM_NOCOMP  AFSR(0, load)
#define STACK_DDR(type)     (func)

#define SWAP_ALLOCATE(nr)     (e)
#define emulate_sigs()  arch_get_unaligned_child()
#define access_rw(TST)  asm volatile("movd %%esp, %0, %3" : : "r" (0));   \
  if (__type & DO_READ)

static void stat_PC_SEC __read_mostly offsetof(struct seq_argsqueue, \

static void
os_prefix(unsigned long sys)
  PUT_PARAM_RAID(2, sel) = get_state_state();
  set_pid_sum((unsigned long)state, current_state_str(),
           (unsigned long)-1->lr_full; low;


GANs (Generative Adversarial Networks)

GANs (Generative Adversarial Networks)

Tesla's Self Driving

Reinforcement Learning


  • Composing music (And generating a MIDI file
  • Translation
  • Learning to play chess or other much more complicated games
  • Handwriting Generation (I did this :D)
  • Sports predictions
  • Voice recognition
  • Financial market analysis/predictions
  • Image colorization (add color to old B/W photos)
  • GitHub CoPilot


Cool/Interesting Links

  • (BYU Class)
  • (Massive Image Classification Data set)
  • (Tensorflow playground)
  • (Lots of GANs)
  • (CNN Animations)
  • (Backprop)
  • (Tons of awesome articles on DL)
  • (Basic NN Article)
  • (Style Transfer)
  • And a ton more, most linked from that first BYU class schedule page
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